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38,210 | Echoes of power: Language effects and power differences in social
interaction | cs.SI | Understanding social interaction within groups is key to analyzing online
communities. Most current work focuses on structural properties: who talks to
whom, and how such interactions form larger network structures. The
interactions themselves, however, generally take place in the form of natural
language --- either sp... | computer science |
38,211 | Random Context and Semi-Conditional Insertion-Deletion Systems | cs.FL | In this article we introduce the operations of insertion and deletion working
in a random-context and semi-conditional manner. We show that the conditional
use of rules strictly increase the computational power. In the case of
semi-conditional insertion-deletion systems context-free insertion and deletion
rules of one ... | computer science |
38,212 | Comparing intermittency and network measurements of words and their
dependency on authorship | cs.CL | Many features from texts and languages can now be inferred from statistical
analyses using concepts from complex networks and dynamical systems. In this
paper we quantify how topological properties of word co-occurrence networks and
intermittency (or burstiness) in word distribution depend on the style of
authors. Our ... | computer science |
38,213 | A Hindi Speech Actuated Computer Interface for Web Search | cs.CL | Aiming at increasing system simplicity and flexibility, an audio evoked based
system was developed by integrating simplified headphone and user-friendly
software design. This paper describes a Hindi Speech Actuated Computer
Interface for Web search (HSACIWS), which accepts spoken queries in Hindi
language and provides ... | computer science |
38,214 | Letter counting: a stem cell for Cryptology, Quantitative Linguistics,
and Statistics | math.HO | Counting letters in written texts is a very ancient practice. It has
accompanied the development of Cryptology, Quantitative Linguistics, and
Statistics. In Cryptology, counting frequencies of the different characters in
an encrypted message is the basis of the so called frequency analysis method.
In Quantitative Lingu... | computer science |
38,215 | Semantics and pragmatics in actual software applications and in web
search engines: exploring innovations | cs.IR | While new ways to use the Semantic Web are developed every week, which allow
the user to find information on web more accurately - for example in search
engines - some sophisticated pragmatic tools are becoming more important - for
example in web interfaces known as Social Intelligence, or in the most famous
Siri by Ap... | computer science |
38,216 | An alternative Gospel of structure: order, composition, processes | math.CT | We survey some basic mathematical structures, which arguably are more
primitive than the structures taught at school. These structures are orders,
with or without composition, and (symmetric) monoidal categories. We list
several `real life' incarnations of each of these. This paper also serves as an
introduction to the... | computer science |
38,217 | On the Necessity of Mixed Models: Dynamical Frustrations in the Mind | nlin.CD | In the present work we will present and analyze some basic processes at the
local and global level in linguistic derivations that seem to go beyond the
limits of Markovian or Turing-like computation, and require, in our opinion, a
quantum processor. We will first present briefly the working hypothesis and
then focus on... | computer science |
38,218 | Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts | cs.CL | The use of robo-readers to analyze news texts is an emerging technology trend
in computational finance. In recent research, a substantial effort has been
invested to develop sophisticated financial polarity-lexicons that can be used
to investigate how financial sentiments relate to future company performance.
However, ... | computer science |
38,219 | Information content versus word length in natural language: A reply to
Ferrer-i-Cancho and Moscoso del Prado Martin [arXiv:1209.1751] | cs.CL | Recently, Ferrer i Cancho and Moscoso del Prado Martin [arXiv:1209.1751]
argued that an observed linear relationship between word length and average
surprisal (Piantadosi, Tily, & Gibson, 2011) is not evidence for communicative
efficiency in human language. We discuss several shortcomings of their approach
and critique... | computer science |
38,220 | Reading Stockholm Riots 2013 in social media by text-mining | cs.SI | The riots in Stockholm in May 2013 were an event that reverberated in the
world media for its dimension of violence that had spread through the Swedish
capital. In this study we have investigated the role of social media in
creating media phenomena via text mining and natural language processing. We
have focused on two... | computer science |
38,221 | Spatio-temporal variation of conversational utterances on Twitter | cs.CL | Conversations reflect the existing norms of a language. Previously, we found
that utterance lengths in English fictional conversations in books and movies
have shortened over a period of 200 years. In this work, we show that this
shortening occurs even for a brief period of 3 years (September 2009-December
2012) using ... | computer science |
38,222 | Forecasting of Events by Tweet Data Mining | cs.SI | This paper describes the analysis of quantitative characteristics of frequent
sets and association rules in the posts of Twitter microblogs related to
different event discussions. For the analysis, we used a theory of frequent
sets, association rules and a theory of formal concept analysis. We revealed
the frequent set... | computer science |
38,223 | Can Twitter Predict Royal Baby's Name ? | cs.SI | In this paper, we analyze the existence of possible correlation between
public opinion of twitter users and the decision-making of persons who are
influential in the society. We carry out this analysis on the example of the
discussion of probable name of the British crown baby, born in July, 2013. In
our study, we use ... | computer science |
38,224 | The optimality of attaching unlinked labels to unlinked meanings | cs.CL | Vocabulary learning by children can be characterized by many biases. When
encountering a new word, children as well as adults, are biased towards
assuming that it means something totally different from the words that they
already know. To the best of our knowledge, the 1st mathematical proof of the
optimality of this b... | computer science |
38,225 | Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive
Writing for Linking Identities | cs.CL | This paper describes the corpus of sockpuppet cases we gathered from
Wikipedia. A sockpuppet is an online user account created with a fake identity
for the purpose of covering abusive behavior and/or subverting the editing
regulation process. We used a semi-automated method for crawling and curating a
dataset of real s... | computer science |
38,226 | Individual Biases, Cultural Evolution, and the Statistical Nature of
Language Universals: The Case of Colour Naming Systems | cs.CL | Language universals have long been attributed to an innate Universal Grammar.
An alternative explanation states that linguistic universals emerged
independently in every language in response to shared cognitive or perceptual
biases. A computational model has recently shown how this could be the case,
focusing on the pa... | computer science |
38,227 | A Preadapted Universal Switch Distribution for Testing Hilberg's
Conjecture | cs.IT | Hilberg's conjecture about natural language states that the mutual
information between two adjacent long blocks of text grows like a power of the
block length. The exponent in this statement can be upper bounded using the
pointwise mutual information estimate computed for a carefully chosen code. The
bound is the bette... | computer science |
38,228 | Big Data and Cross-Document Coreference Resolution: Current State and
Future Opportunities | cs.CL | Information Extraction (IE) is the task of automatically extracting
structured information from unstructured/semi-structured machine-readable
documents. Among various IE tasks, extracting actionable intelligence from
ever-increasing amount of data depends critically upon Cross-Document
Coreference Resolution (CDCR) - t... | computer science |
38,229 | mARC: Memory by Association and Reinforcement of Contexts | cs.IR | This paper introduces the memory by Association and Reinforcement of Contexts
(mARC). mARC is a novel data modeling technology rooted in the second
quantization formulation of quantum mechanics. It is an all-purpose incremental
and unsupervised data storage and retrieval system which can be applied to all
types of sign... | computer science |
38,230 | Application of Ontologies in Identifying Requirements Patterns in Use
Cases | cs.SE | Use case specifications have successfully been used for requirements
description. They allow joining, in the same modeling space, the expectations
of the stakeholders as well as the needs of the software engineer and analyst
involved in the process. While use cases are not meant to describe a system's
implementation, b... | computer science |
38,231 | Targeting HIV-related Medication Side Effects and Sentiment Using
Twitter Data | cs.SI | We present a descriptive analysis of Twitter data. Our study focuses on
extracting the main side effects associated with HIV treatments. The crux of
our work was the identification of personal tweets referring to HIV. We
summarize our results in an infographic aimed at the general public. In
addition, we present a meas... | computer science |
38,232 | Mathematical Language Processing Project | cs.DL | In natural language, words and phrases themselves imply the semantics. In
contrast, the meaning of identifiers in mathematical formulae is undefined.
Thus scientists must study the context to decode the meaning. The Mathematical
Language Processing (MLP) project aims to support that process. In this paper,
we compare t... | computer science |
38,233 | Toward Selectivity Based Keyword Extraction for Croatian News | cs.CL | Preliminary report on network based keyword extraction for Croatian is an
unsupervised method for keyword extraction from the complex network. We build
our approach with a new network measure the node selectivity, motivated by the
research of the graph based centrality approaches. The node selectivity is
defined as the... | computer science |
38,234 | Principles and Parameters: a coding theory perspective | cs.CL | We propose an approach to Longobardi's parametric comparison method (PCM) via
the theory of error-correcting codes. One associates to a collection of
languages to be analyzed with the PCM a binary (or ternary) code with one code
words for each language in the family and each word consisting of the binary
values of the ... | computer science |
38,235 | A Latent Space Analysis of Editor Lifecycles in Wikipedia | cs.SI | Collaborations such as Wikipedia are a key part of the value of the modern
Internet. At the same time there is concern that these collaborations are
threatened by high levels of member turnover. In this paper we borrow ideas
from topic analysis to editor activity on Wikipedia over time into a latent
space that offers a... | computer science |
38,236 | Zipf's law for word frequencies: word forms versus lemmas in long texts | cs.CL | Zipf's law is a fundamental paradigm in the statistics of written and spoken
natural language as well as in other communication systems. We raise the
question of the elementary units for which Zipf's law should hold in the most
natural way, studying its validity for plain word forms and for the
corresponding lemma form... | computer science |
38,237 | Structure of a media co-occurrence network | cs.CL | Social networks have been of much interest in recent years. We here focus on
a network structure derived from co-occurrences of people in traditional
newspaper media. We find three clear deviations from what can be expected in a
random graph. First, the average degree in the empirical network is much lower
than expecte... | computer science |
38,238 | Analyzing the Language of Food on Social Media | cs.CL | We investigate the predictive power behind the language of food on social
media. We collect a corpus of over three million food-related posts from
Twitter and demonstrate that many latent population characteristics can be
directly predicted from this data: overweight rate, diabetes rate, political
leaning, and home geo... | computer science |
38,239 | Approximating solution structure of the Weighted Sentence Alignment
problem | cs.CL | We study the complexity of approximating solution structure of the bijective
weighted sentence alignment problem of DeNero and Klein (2008). In particular,
we consider the complexity of finding an alignment that has a significant
overlap with an optimal alignment. We discuss ways of representing the solution
for the ge... | computer science |
38,240 | Exploiting Social Network Structure for Person-to-Person Sentiment
Analysis | cs.SI | Person-to-person evaluations are prevalent in all kinds of discourse and
important for establishing reputations, building social bonds, and shaping
public opinion. Such evaluations can be analyzed separately using signed social
networks and textual sentiment analysis, but this misses the rich interactions
between langu... | computer science |
38,241 | The meaning-frequency law in Zipfian optimization models of
communication | cs.CL | According to Zipf's meaning-frequency law, words that are more frequent tend
to have more meanings. Here it is shown that a linear dependency between the
frequency of a form and its number of meanings is found in a family of models
of Zipf's law for word frequencies. This is evidence for a weak version of the
meaning-f... | computer science |
38,242 | Does network complexity help organize Babel's library? | cs.CL | In this work, we study properties of texts from the perspective of complex
network theory. Words in given texts are linked by co-occurrence and
transformed into networks, and we observe that these display topological
properties common to other complex systems. However, there are some properties
that seem to be exclusiv... | computer science |
38,243 | Using social network graph analysis for interest detection | cs.SI | A person's interests exist as an internal state and are difficult to define.
Since only external actions are observable, a proxy must be used that
represents someone's interests. Techniques like collaborative filtering,
behavioral targeting, and hashtag analysis implicitly model an individual's
interests. I argue that ... | computer science |
38,244 | A stronger null hypothesis for crossing dependencies | cs.CL | The syntactic structure of a sentence can be modeled as a tree where vertices
are words and edges indicate syntactic dependencies between words. It is
well-known that those edges normally do not cross when drawn over the sentence.
Here a new null hypothesis for the number of edge crossings of a sentence is
presented. T... | computer science |
38,245 | Non-crossing dependencies: least effort, not grammar | cs.CL | The use of null hypotheses (in a statistical sense) is common in hard
sciences but not in theoretical linguistics. Here the null hypothesis that the
low frequency of syntactic dependency crossings is expected by an arbitrary
ordering of words is rejected. It is shown that this would require star
dependency structures, ... | computer science |
38,246 | Exemplar Dynamics and Sound Merger in Language | cs.CL | We develop a model of phonological contrast in natural language.
Specifically, the model describes the maintenance of contrast between different
words in a language, and the elimination of such contrast when sounds in the
words merge. An example of such a contrast is that provided by the two vowel
sounds 'i' and 'e', w... | computer science |
38,247 | Optimization models of natural communication | cs.CL | A family of information theoretic models of communication was introduced more
than a decade ago to explain the origins of Zipf's law for word frequencies.
The family is a based on a combination of two information theoretic principles:
maximization of mutual information between forms and meanings and minimization
of for... | computer science |
38,248 | Zipf's Law and the Frequency of Characters or Words of Oracles | cs.CL | The article discusses the frequency of characters of Oracle,concluding that
the frequency and the rank of a word or character is fit to Zipf-Mandelboit Law
or Zipf's law with three parameters,and figuring out the parameters based on
the frequency,and pointing out that what some researchers of Oracle call the
assembling... | computer science |
38,249 | Reply to the commentary "Be careful when assuming the obvious", by P.
Alday | cs.CL | Here we respond to some comments by Alday concerning headedness in linguistic
theory and the validity of the assumptions of a mathematical model for word
order. For brevity, we focus only on two assumptions: the unit of measurement
of dependency length and the monotonicity of the cost of a dependency as a
function of i... | computer science |
38,250 | Proceedings of the 11th workshop on Quantum Physics and Logic | cs.LO | This volume contains the proceedings of the 11th International Workshop on
Quantum Physics and Logic (QPL 2014), which was held from the 4th to the 6th of
June, 2014, at Kyoto University, Japan.
The goal of the QPL workshop series is to bring together researchers working
on mathematical foundations of quantum physics... | computer science |
38,251 | From Logical to Distributional Models | cs.LO | The paper relates two variants of semantic models for natural language,
logical functional models and compositional distributional vector space models,
by transferring the logic and reasoning from the logical to the distributional
models.
The geometrical operations of quantum logic are reformulated as algebraic
opera... | computer science |
38,252 | Cross-language Wikipedia Editing of Okinawa, Japan | cs.CY | This article analyzes users who edit Wikipedia articles about Okinawa, Japan,
in English and Japanese. It finds these users are among the most active and
dedicated users in their primary languages, where they make many large,
high-quality edits. However, when these users edit in their non-primary
languages, they tend t... | computer science |
38,253 | Characterizing the Google Books corpus: Strong limits to inferences of
socio-cultural and linguistic evolution | cs.CL | It is tempting to treat frequency trends from the Google Books data sets as
indicators of the "true" popularity of various words and phrases. Doing so
allows us to draw quantitatively strong conclusions about the evolution of
cultural perception of a given topic, such as time or gender. However, the
Google Books corpus... | computer science |
38,254 | Implementation of an Automatic Syllabic Division Algorithm from Speech
Files in Portuguese Language | cs.SD | A new algorithm for voice automatic syllabic splitting in the Portuguese
language is proposed, which is based on the envelope of the speech signal of
the input audio file. A computational implementation in MatlabTM is presented
and made available at the URL
http://www2.ee.ufpe.br/codec/divisao_silabica.html. Due to its... | computer science |
38,255 | Eliciting Disease Data from Wikipedia Articles | cs.IR | Traditional disease surveillance systems suffer from several disadvantages,
including reporting lags and antiquated technology, that have caused a movement
towards internet-based disease surveillance systems. Internet systems are
particularly attractive for disease outbreaks because they can provide data in
near real-t... | computer science |
38,256 | QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting
Patterns | cs.CL | Given the extremely large pool of events and stories available, media outlets
need to focus on a subset of issues and aspects to convey to their audience.
Outlets are often accused of exhibiting a systematic bias in this selection
process, with different outlets portraying different versions of reality.
However, in the... | computer science |
38,257 | Mining and discovering biographical information in Difangzhi with a
language-model-based approach | cs.CL | We present results of expanding the contents of the China Biographical
Database by text mining historical local gazetteers, difangzhi. The goal of the
database is to see how people are connected together, through kinship, social
connections, and the places and offices in which they served. The gazetteers
are the single... | computer science |
38,258 | Towards a relation extraction framework for cyber-security concepts | cs.IR | In order to assist security analysts in obtaining information pertaining to
their network, such as novel vulnerabilities, exploits, or patches, information
retrieval methods tailored to the security domain are needed. As labeled text
data is scarce and expensive, we follow developments in semi-supervised Natural
Langua... | computer science |
38,259 | Document Classification by Inversion of Distributed Language
Representations | cs.CL | There have been many recent advances in the structure and measurement of
distributed language models: those that map from words to a vector-space that
is rich in information about word choice and composition. This vector-space is
the distributed language representation. The goal of this note is to point out
that any di... | computer science |
38,260 | How much is said in a microblog? A multilingual inquiry based on Weibo
and Twitter | cs.SI | This paper presents a multilingual study on, per single post of microblog
text, (a) how much can be said, (b) how much is written in terms of characters
and bytes, and (c) how much is said in terms of information content in posts by
different organizations in different languages. Focusing on three different
languages (... | computer science |
38,261 | On Quantum Generalizations of Information-Theoretic Measures and their
Contribution to Distributional Semantics | cs.IT | Information-theoretic measures such as relative entropy and correlation are
extremely useful when modeling or analyzing the interaction of probabilistic
systems. We survey the quantum generalization of 5 such measures and point out
some of their commonalities and interpretations. In particular we find the
application o... | computer science |
38,262 | Video (GIF) Sentiment Analysis using Large-Scale Mid-Level Ontology | cs.MM | With faster connection speed, Internet users are now making social network a
huge reservoir of texts, images and video clips (GIF). Sentiment analysis for
such online platform can be used to predict political elections, evaluates
economic indicators and so on. However, GIF sentiment analysis is quite
challenging, not o... | computer science |
38,263 | Entity-Specific Sentiment Classification of Yahoo News Comments | cs.CL | Sentiment classification is widely used for product reviews and in online
social media such as forums, Twitter, and blogs. However, the problem of
classifying the sentiment of user comments on news sites has not been addressed
yet. News sites cover a wide range of domains including politics, sports,
technology, and ent... | computer science |
38,264 | Editorial for the First Workshop on Mining Scientific Papers:
Computational Linguistics and Bibliometrics | cs.CL | The workshop "Mining Scientific Papers: Computational Linguistics and
Bibliometrics" (CLBib 2015), co-located with the 15th International Society of
Scientometrics and Informetrics Conference (ISSI 2015), brought together
researchers in Bibliometrics and Computational Linguistics in order to study
the ways Bibliometric... | computer science |
38,265 | Detection and Analysis of Emotion From Speech Signals | cs.SD | Recognizing emotion from speech has become one the active research themes in
speech processing and in applications based on human-computer interaction. This
paper conducts an experimental study on recognizing emotions from human speech.
The emotions considered for the experiments include neutral, anger, joy and
sadness... | computer science |
38,266 | How to improve robustness in Kohonen maps and display additional
information in Factorial Analysis: application to text mining | math.ST | This article is an extended version of a paper presented in the WSOM'2012
conference [1]. We display a combination of factorial projections, SOM
algorithm and graph techniques applied to a text mining problem. The corpus
contains 8 medieval manuscripts which were used to teach arithmetic techniques
to merchants. Among ... | computer science |
38,267 | WYSIWYE: An Algebra for Expressing Spatial and Textual Rules for Visual
Information Extraction | cs.CL | The visual layout of a webpage can provide valuable clues for certain types
of Information Extraction (IE) tasks. In traditional rule based IE frameworks,
these layout cues are mapped to rules that operate on the HTML source of the
webpages. In contrast, we have developed a framework in which the rules can be
specified... | computer science |
38,268 | Requirement Tracing using Term Extraction | cs.SE | Requirements traceability is an essential step in ensuring the quality of
software during the early stages of its development life cycle. Requirements
tracing usually consists of document parsing, candidate link generation and
evaluation and traceability analysis. This paper demonstrates the applicability
of Statistica... | computer science |
38,269 | Mining and Analyzing the Future Works in Scientific Articles | cs.DL | Future works in scientific articles are valuable for researchers and they can
guide researchers to new research directions or ideas. In this paper, we mine
the future works in scientific articles in order to 1) provide an insight for
future work analysis and 2) facilitate researchers to search and browse future
works i... | computer science |
38,270 | Spin Glass Models of Syntax and Language Evolution | cs.CL | Using the SSWL database of syntactic parameters of world languages, and the
MIT Media Lab data on language interactions, we construct a spin glass model of
language evolution. We treat binary syntactic parameters as spin states, with
languages as vertices of a graph, and assigned interaction energies along the
edges. W... | computer science |
38,271 | Privacy-Preserving Multi-Document Summarization | cs.IR | State-of-the-art extractive multi-document summarization systems are usually
designed without any concern about privacy issues, meaning that all documents
are open to third parties. In this paper we propose a privacy-preserving
approach to multi-document summarization. Our approach enables other parties to
obtain summa... | computer science |
38,272 | Information-theoretical analysis of the statistical dependencies among
three variables: Applications to written language | cs.CL | We develop the information-theoretical concepts required to study the
statistical dependencies among three variables. Some of such dependencies are
pure triple interactions, in the sense that they cannot be explained in terms
of a combination of pairwise correlations. We derive bounds for triple
dependencies, and chara... | computer science |
38,273 | Echoes of Persuasion: The Effect of Euphony in Persuasive Communication | cs.CL | While the effect of various lexical, syntactic, semantic and stylistic
features have been addressed in persuasive language from a computational point
of view, the persuasive effect of phonetics has received little attention. By
modeling a notion of euphony and analyzing four datasets comprising persuasive
and non-persu... | computer science |
38,274 | A fully data-driven method to identify (correlated) changes in
diachronic corpora | cs.CL | In this paper, a method for measuring synchronic corpus (dis-)similarity put
forward by Kilgarriff (2001) is adapted and extended to identify trends and
correlated changes in diachronic text data, using the Corpus of Historical
American English (Davies 2010a) and the Google Ngram Corpora (Michel et al.
2010a). This pap... | computer science |
38,275 | Crossings as a side effect of dependency lengths | cs.CL | The syntactic structure of sentences exhibits a striking regularity:
dependencies tend to not cross when drawn above the sentence. We investigate
two competing explanations. The traditional hypothesis is that this trend
arises from an independent principle of syntax that reduces crossings
practically to zero. An altern... | computer science |
38,276 | Understanding Editing Behaviors in Multilingual Wikipedia | cs.SI | Multilingualism is common offline, but we have a more limited understanding
of the ways multilingualism is displayed online and the roles that
multilinguals play in the spread of content between speakers of different
languages. We take a computational approach to studying multilingualism using
one of the largest user-g... | computer science |
38,277 | Enhancement and Recognition of Reverberant and Noisy Speech by Extending
Its Coherence | cs.SD | Most speech enhancement algorithms make use of the short-time Fourier
transform (STFT), which is a simple and flexible time-frequency decomposition
that estimates the short-time spectrum of a signal. However, the duration of
short STFT frames are inherently limited by the nonstationarity of speech
signals. The main con... | computer science |
38,278 | Liberating language research from dogmas of the 20th century | cs.CL | A commentary on the article "Large-scale evidence of dependency length
minimization in 37 languages" by Futrell, Mahowald & Gibson (PNAS 2015 112 (33)
10336-10341). | computer science |
38,279 | Twitter Sentiment Analysis | cs.CL | This project addresses the problem of sentiment analysis in twitter; that is
classifying tweets according to the sentiment expressed in them: positive,
negative or neutral. Twitter is an online micro-blogging and social-networking
platform which allows users to write short status updates of maximum length 140
character... | computer science |
38,280 | Network analysis of named entity co-occurrences in written texts | cs.CL | The use of methods borrowed from statistics and physics to analyze written
texts has allowed the discovery of unprecedent patterns of human behavior and
cognition by establishing links between models features and language structure.
While current models have been useful to unveil patterns via analysis of
syntactical an... | computer science |
38,281 | Similarity of symbol frequency distributions with heavy tails | cs.CL | Quantifying the similarity between symbolic sequences is a traditional
problem in Information Theory which requires comparing the frequencies of
symbols in different sequences. In numerous modern applications, ranging from
DNA over music to texts, the distribution of symbol frequencies is
characterized by heavy-tailed ... | computer science |
38,282 | Calculating entropy at different scales among diverse communication
systems | cs.IT | We evaluated the impact of changing the observation scale over the entropy
measures for text descriptions. MIDI coded Music, computer code and two human
natural languages were studied at the scale of characters, words, and at the
Fundamental Scale resulting from adjusting the symbols length used to interpret
each text-... | computer science |
38,283 | Complex Politics: A Quantitative Semantic and Topological Analysis of UK
House of Commons Debates | cs.CL | This study is a first, exploratory attempt to use quantitative semantics
techniques and topological analysis to analyze systemic patterns arising in a
complex political system. In particular, we use a rich data set covering all
speeches and debates in the UK House of Commons between 1975 and 2014. By the
use of dynamic... | computer science |
38,284 | Prevalence and recoverability of syntactic parameters in sparse
distributed memories | cs.CL | We propose a new method, based on Sparse Distributed Memory (Kanerva
Networks), for studying dependency relations between different syntactic
parameters in the Principles and Parameters model of Syntax. We store data of
syntactic parameters of world languages in a Kanerva Network and we check the
recoverability of corr... | computer science |
38,285 | Quantifying the Cognitive Extent of Science | cs.DL | While the modern science is characterized by an exponential growth in
scientific literature, the increase in publication volume clearly does not
reflect the expansion of the cognitive boundaries of science. Nevertheless,
most of the metrics for assessing the vitality of science or for making funding
and policy decision... | computer science |
38,286 | On the Number of Many-to-Many Alignments of Multiple Sequences | math.CO | We count the number of alignments of $N \ge 1$ sequences when match-up types
are from a specified set $S\subseteq \mathbb{N}^N$. Equivalently, we count the
number of nonnegative integer matrices whose rows sum to a given fixed vector
and each of whose columns lie in $S$. We provide a new asymptotic formula for
the case... | computer science |
38,287 | Approximation of the truncated Zeta distribution and Zipf's law | stat.AP | Zipf's law appears in many application areas but does not have a closed form
expression, which may make its use cumbersome. Since it coincides with the
truncated version of the Zeta distribution, in this paper we propose three
approximate closed form expressions for the truncated Zeta distribution, which
may be employe... | computer science |
38,288 | Color Aesthetics and Social Networks in Complete Tang Poems:
Explorations and Discoveries | cs.CL | The Complete Tang Poems (CTP) is the most important source to study Tang
poems. We look into CTP with computational tools from specific linguistic
perspectives, including distributional semantics and collocational analysis.
From such quantitative viewpoints, we compare the usage of "wind" and "moon" in
the poems of Li ... | computer science |
38,289 | Conducting sparse feature selection on arbitrarily long phrases in text
corpora with a focus on interpretability | cs.CL | We propose a general framework for topic-specific summarization of large text
corpora, and illustrate how it can be used for analysis in two quite different
contexts: an OSHA database of fatality and catastrophe reports (to facilitate
surveillance for patterns in circumstances leading to injury or death) and
legal deci... | computer science |
38,290 | Analysis of a Play by Means of CHAPLIN, the Characters and Places
Interaction Network Software | cs.CY | Recently, we have developed a software able of gathering information on
social networks from written texts. This software, the CHAracters and PLaces
Interaction Network (CHAPLIN) tool, is implemented in Visual Basic. By means of
it, characters and places of a literary work can be extracted from a list of
raw words. The... | computer science |
38,291 | Approaches for Sentiment Analysis on Twitter: A State-of-Art study | cs.SI | Microbloging is an extremely prevalent broadcast medium amidst the Internet
fraternity these days. People share their opinions and sentiments about variety
of subjects like products, news, institutions, etc., every day on microbloging
websites. Sentiment analysis plays a key role in prediction systems, opinion
mining s... | computer science |
38,292 | Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in
Gaussian Mixture Noise | cs.IT | A distributed adaptive algorithm for estimation of sparse unknown parameters
in the presence of nonGaussian noise is proposed in this paper based on
normalized least mean fourth (NLMF) criterion. At the first step, local
adaptive NLMF algorithm is modified by zero norm in order to speed up the
convergence rate and also... | computer science |
38,293 | Joint Image-Text News Topic Detection and Tracking with And-Or Graph
Representation | cs.IR | In this paper, we aim to develop a method for automatically detecting and
tracking topics in broadcast news. We present a hierarchical And-Or graph (AOG)
to jointly represent the latent structure of both texts and visuals. The AOG
embeds a context sensitive grammar that can describe the hierarchical
composition of news... | computer science |
38,294 | Towards Evaluation of Cultural-scale Claims in Light of Topic Model
Sampling Effects | cs.DL | Cultural-scale models of full text documents are prone to over-interpretation
by researchers making unintentionally strong socio-linguistic claims (Pechenick
et al., 2015) without recognizing that even large digital libraries are merely
samples of all the books ever produced. In this study, we test the sensitivity
of t... | computer science |
38,295 | Topical differences between Chinese language Twitter and Sina Weibo | cs.SI | Sina Weibo, China's most popular microblogging platform, is currently used by
over $500M$ users and is considered to be a proxy of Chinese social life. In
this study, we contrast the discussions occurring on Sina Weibo and on Chinese
language Twitter in order to observe two different strands of Chinese culture:
people ... | computer science |
38,296 | The scarcity of crossing dependencies: a direct outcome of a specific
constraint? | cs.CL | The structure of a sentence can be represented as a network where vertices
are words and edges indicate syntactic dependencies. Interestingly, crossing
syntactic dependencies have been observed to be infrequent in human languages.
This leads to the question of whether the scarcity of crossings in languages
arises from ... | computer science |
38,297 | Modification of Question Writing Style Influences Content Popularity in
a Social Q&A System | cs.IR | TurboTax AnswerXchange is a social Q&A system supporting users working on
federal and state tax returns. Using 2015 data, we demonstrate that content
popularity (or number of views per AnswerXchange question) can be predicted
with reasonable accuracy based on attributes of the question alone. We also
employ probabilist... | computer science |
38,298 | Why Do Urban Legends Go Viral? | cs.CL | Urban legends are a genre of modern folklore, consisting of stories about
rare and exceptional events, just plausible enough to be believed, which tend
to propagate inexorably across communities. In our view, while urban legends
represent a form of "sticky" deceptive text, they are marked by a tension
between the credi... | computer science |
38,299 | Winning Arguments: Interaction Dynamics and Persuasion Strategies in
Good-faith Online Discussions | cs.SI | Changing someone's opinion is arguably one of the most important challenges
of social interaction. The underlying process proves difficult to study: it is
hard to know how someone's opinions are formed and whether and how someone's
views shift. Fortunately, ChangeMyView, an active community on Reddit, provides
a platfo... | computer science |
38,300 | Using Hadoop for Large Scale Analysis on Twitter: A Technical Report | cs.DB | Sentiment analysis (or opinion mining) on Twitter data has attracted much
attention recently. One of the system's key features, is the immediacy in
communication with other users in an easy, user-friendly and fast way.
Consequently, people tend to express their feelings freely, which makes Twitter
an ideal source for a... | computer science |
38,301 | The happiness paradox: your friends are happier than you | cs.SI | Most individuals in social networks experience a so-called Friendship
Paradox: they are less popular than their friends on average. This effect may
explain recent findings that widespread social network media use leads to
reduced happiness. However the relation between popularity and happiness is
poorly understood. A F... | computer science |
38,302 | Generalized minimum dominating set and application in automatic text
summarization | cs.IR | For a graph formed by vertices and weighted edges, a generalized minimum
dominating set (MDS) is a vertex set of smallest cardinality such that the
summed weight of edges from each outside vertex to vertices in this set is
equal to or larger than certain threshold value. This generalized MDS problem
reduces to the conv... | computer science |
38,303 | Data fluidity in DARIAH -- pushing the agenda forward | cs.CY | This paper provides both an update concerning the setting up of the European
DARIAH infrastructure and a series of strong action lines related to the
development of a data centred strategy for the humanities in the coming years.
In particular we tackle various aspect of data management: data hosting, the
setting up of ... | computer science |
38,304 | Towards using social media to identify individuals at risk for
preventable chronic illness | cs.CL | We describe a strategy for the acquisition of training data necessary to
build a social-media-driven early detection system for individuals at risk for
(preventable) type 2 diabetes mellitus (T2DM). The strategy uses a game-like
quiz with data and questions acquired semi-automatically from Twitter. The
questions are de... | computer science |
38,305 | The Anatomy of a Search and Mining System for Digital Archives | cs.DL | Samtla (Search And Mining Tools with Linguistic Analysis) is a digital
humanities system designed in collaboration with historians and linguists to
assist them with their research work in quantifying the content of any textual
corpora through approximate phrase search and document comparison. The
retrieval engine uses ... | computer science |
38,306 | CONDITOR1: Topic Maps and DITA labelling tool for textual documents with
historical information | cs.DL | Conditor is a software tool which works with textual documents containing
historical information. The purpose of this work two-fold: firstly to show the
validity of the developed engine to correctly identify and label the entities
of the universe of discourse with a labelled-combined XTM-DITA model. Secondly
to explain... | computer science |
38,307 | Online shopping behavior study based on multi-granularity opinion
mining: China vs. America | cs.CY | With the development of e-commerce, many products are now being sold
worldwide, and manufacturers are eager to obtain a better understanding of
customer behavior in various regions. To achieve this goal, most previous
efforts have focused mainly on questionnaires, which are time-consuming and
costly. The tremendous vol... | computer science |
38,308 | Longitudinal Analysis of Discussion Topics in an Online Breast Cancer
Community using Convolutional Neural Networks | cs.CL | Identifying topics of discussions in online health communities (OHC) is
critical to various applications, but can be difficult because topics of OHC
content are usually heterogeneous and domain-dependent. In this paper, we
provide a multi-class schema, an annotated dataset, and supervised classifiers
based on convoluti... | computer science |
38,309 | Compression and the origins of Zipf's law for word frequencies | cs.CL | Here we sketch a new derivation of Zipf's law for word frequencies based on
optimal coding. The structure of the derivation is reminiscent of Mandelbrot's
random typing model but it has multiple advantages over random typing: (1) it
starts from realistic cognitive pressures (2) it does not require fine tuning
of parame... | computer science |
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