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38,109 | Good Friends, Bad News - Affect and Virality in Twitter | cs.SI | The link between affect, defined as the capacity for sentimental arousal on
the part of a message, and virality, defined as the probability that it be sent
along, is of significant theoretical and practical importance, e.g. for viral
marketing. A quantitative study of emailing of articles from the NY Times finds
a stro... | computer science |
38,110 | Aging in language dynamics | cs.CL | Human languages evolve continuously, and a puzzling problem is how to
reconcile the apparent robustness of most of the deep linguistic structures we
use with the evidence that they undergo possibly slow, yet ceaseless, changes.
Is the state in which we observe languages today closer to what would be a
dynamical attract... | computer science |
38,111 | Infinity in computable probability | math.LO | Here we show, contrary to the classical supposition, that a process for
generating symbols according to some probability distribution need not, with
any likelihood, produce a given finite text in any finite time, even if it is
guaranteed to produce the text in infinite time. The result extends to
target-free text gener... | computer science |
38,112 | Enhancing Twitter Data Analysis with Simple Semantic Filtering: Example
in Tracking Influenza-Like Illnesses | cs.SI | Systems that exploit publicly available user generated content such as
Twitter messages have been successful in tracking seasonal influenza. We
developed a novel filtering method for Influenza-Like-Illnesses (ILI)-related
messages using 587 million messages from Twitter micro-blogs. We first filtered
messages based on ... | computer science |
38,113 | Diffusion of Lexical Change in Social Media | cs.CL | Computer-mediated communication is driving fundamental changes in the nature
of written language. We investigate these changes by statistical analysis of a
dataset comprising 107 million Twitter messages (authored by 2.7 million unique
user accounts). Using a latent vector autoregressive model to aggregate across
thous... | computer science |
38,114 | Hidden Trends in 90 Years of Harvard Business Review | cs.CL | In this paper, we demonstrate and discuss results of our mining the abstracts
of the publications in Harvard Business Review between 1922 and 2012.
Techniques for computing n-grams, collocations, basic sentiment analysis, and
named-entity recognition were employed to uncover trends hidden in the
abstracts. We present f... | computer science |
38,115 | Some Chances and Challenges in Applying Language Technologies to
Historical Studies in Chinese | cs.CL | We report applications of language technology to analyzing historical
documents in the Database for the Study of Modern Chinese Thoughts and
Literature (DSMCTL). We studied two historical issues with the reported
techniques: the conceptualization of "huaren" (Chinese people) and the attempt
to institute constitutional ... | computer science |
38,116 | Identifying Duplicate and Contradictory Information in Wikipedia | cs.IR | Our study identifies sentences in Wikipedia articles that are either
identical or highly similar by applying techniques for near-duplicate detection
of web pages. This is accomplished with a MapReduce implementation of minhash
to identify clusters of sentences with high Jaccard similarity. We show that
these clusters c... | computer science |
38,117 | POS Tagging and its Applications for Mathematics | cs.DL | Content analysis of scientific publications is a nontrivial task, but a
useful and important one for scientific information services. In the Gutenberg
era it was a domain of human experts; in the digital age many machine-based
methods, e.g., graph analysis tools and machine-learning techniques, have been
developed for ... | computer science |
38,118 | A Clustering Analysis of Tweet Length and its Relation to Sentiment | cs.CL | Sentiment analysis of Twitter data is performed. The researcher has made the
following contributions via this paper: (1) an innovative method for deriving
sentiment score dictionaries using an existing sentiment dictionary as seed
words is explored, and (2) an analysis of clustered tweet sentiment scores
based on tweet... | computer science |
38,119 | Human language reveals a universal positivity bias | cs.CL | Using human evaluation of 100,000 words spread across 24 corpora in 10
languages diverse in origin and culture, we present evidence of a deep imprint
of human sociality in language, observing that (1) the words of natural human
language possess a universal positivity bias; (2) the estimated emotional
content of words i... | computer science |
38,120 | A Bengali HMM Based Speech Synthesis System | cs.SD | The paper presents the capability of an HMM-based TTS system to produce
Bengali speech. In this synthesis method, trajectories of speech parameters are
generated from the trained Hidden Markov Models. A final speech waveform is
synthesized from those speech parameters. In our experiments, spectral
properties were repre... | computer science |
38,121 | Scaling laws and fluctuations in the statistics of word frequencies | cs.CL | In this paper we combine statistical analysis of large text databases and
simple stochastic models to explain the appearance of scaling laws in the
statistics of word frequencies. Besides the sublinear scaling of the vocabulary
size with database size (Heaps' law), here we report a new scaling of the
fluctuations aroun... | computer science |
38,122 | Extracting information from S-curves of language change | cs.CL | It is well accepted that adoption of innovations are described by S-curves
(slow start, accelerating period, and slow end). In this paper, we analyze how
much information on the dynamics of innovation spreading can be obtained from a
quantitative description of S-curves. We focus on the adoption of linguistic
innovatio... | computer science |
38,123 | Human Communication Systems Evolve by Cultural Selection | cs.SI | Human communication systems, such as language, evolve culturally; their
components undergo reproduction and variation. However, a role for selection in
cultural evolutionary dynamics is less clear. Often neutral evolution (also
known as 'drift') models, are used to explain the evolution of human
communication systems, ... | computer science |
38,124 | An analysis of Twitter messages in the 2011 Tohoku Earthquake | cs.SI | Social media such as Facebook and Twitter have proven to be a useful resource
to understand public opinion towards real world events. In this paper, we
investigate over 1.5 million Twitter messages (tweets) for the period 9th March
2011 to 31st May 2011 in order to track awareness and anxiety levels in the
Tokyo metrop... | computer science |
38,125 | From Contracts in Structured English to CL Specifications | cs.CL | In this paper we present a framework to analyze conflicts of contracts
written in structured English. A contract that has manually been rewritten in a
structured English is automatically translated into a formal language using the
Grammatical Framework (GF). In particular we use the contract language CL as a
target for... | computer science |
38,126 | User-level sentiment analysis incorporating social networks | cs.CL | We show that information about social relationships can be used to improve
user-level sentiment analysis. The main motivation behind our approach is that
users that are somehow "connected" may be more likely to hold similar opinions;
therefore, relationship information can complement what we can extract about a
user's ... | computer science |
38,127 | Universal Properties of Mythological Networks | cs.CL | As in statistical physics, the concept of universality plays an important,
albeit qualitative, role in the field of comparative mythology. Here we apply
statistical mechanical tools to analyse the networks underlying three iconic
mythological narratives with a view to identifying common and distinguishing
quantitative ... | computer science |
38,128 | On the origin of long-range correlations in texts | cs.CL | The complexity of human interactions with social and natural phenomena is
mirrored in the way we describe our experiences through natural language. In
order to retain and convey such a high dimensional information, the statistical
properties of our linguistic output has to be highly correlated in time. An
example are t... | computer science |
38,129 | The law of brevity in macaque vocal communication is not an artifact of
analyzing mean call durations | cs.CL | Words follow the law of brevity, i.e. more frequent words tend to be shorter.
From a statistical point of view, this qualitative definition of the law states
that word length and word frequency are negatively correlated. Here the recent
finding of patterning consistent with the law of brevity in Formosan macaque
vocal ... | computer science |
38,130 | Probing the statistical properties of unknown texts: application to the
Voynich Manuscript | cs.CL | While the use of statistical physics methods to analyze large corpora has
been useful to unveil many patterns in texts, no comprehensive investigation
has been performed investigating the properties of statistical measurements
across different languages and texts. In this study we propose a framework that
aims at deter... | computer science |
38,131 | Efficient learning strategy of Chinese characters based on network
approach | cs.CL | Based on network analysis of hierarchical structural relations among Chinese
characters, we develop an efficient learning strategy of Chinese characters. We
regard a more efficient learning method if one learns the same number of useful
Chinese characters in less effort or time. We construct a node-weighted network
of ... | computer science |
38,132 | Type-theoretical natural language semantics: on the system F for meaning
assembly | cs.LO | This paper presents and extends our type theoretical framework for a
compositional treatment of natural language semantics with some lexical
features like coercions (e.g. of a town into a football club) and copredication
(e.g. on a town as a set of people and as a location). The second order typed
lambda calculus was s... | computer science |
38,133 | Types and forgetfulness in categorical linguistics and quantum mechanics | cs.CL | The role of types in categorical models of meaning is investigated. A general
scheme for how typed models of meaning may be used to compare sentences,
regardless of their grammatical structure is described, and a toy example is
used as an illustration. Taking as a starting point the question of whether the
evaluation o... | computer science |
38,134 | Expressing Ethnicity through Behaviors of a Robot Character | cs.CL | Achieving homophily, or association based on similarity, between a human user
and a robot holds a promise of improved perception and task performance.
However, no previous studies that address homophily via ethnic similarity with
robots exist. In this paper, we discuss the difficulties of evoking ethnic cues
in a robot... | computer science |
38,135 | An Adaptive Methodology for Ubiquitous ASR System | cs.CL | Achieving and maintaining the performance of ubiquitous (Automatic Speech
Recognition) ASR system is a real challenge. The main objective of this work is
to develop a method that will improve and show the consistency in performance
of ubiquitous ASR system for real world noisy environment. An adaptive
methodology has b... | computer science |
38,136 | The placement of the head that minimizes online memory: a complex
systems approach | cs.CL | It is well known that the length of a syntactic dependency determines its
online memory cost. Thus, the problem of the placement of a head and its
dependents (complements or modifiers) that minimizes online memory is
equivalent to the problem of the minimum linear arrangement of a star tree.
However, how that length is... | computer science |
38,137 | Why SOV might be initially preferred and then lost or recovered? A
theoretical framework | cs.CL | Little is known about why SOV order is initially preferred and then discarded
or recovered. Here we present a framework for understanding these and many
related word order phenomena: the diversity of dominant orders, the existence
of free words orders, the need of alternative word orders and word order
reversions and c... | computer science |
38,138 | Comparing methods for Twitter Sentiment Analysis | cs.CL | This work extends the set of works which deal with the popular problem of
sentiment analysis in Twitter. It investigates the most popular document
("tweet") representation methods which feed sentiment evaluation mechanisms. In
particular, we study the bag-of-words, n-grams and n-gram graphs approaches and
for each of t... | computer science |
38,139 | A Category Theory of Communication Theory | cs.IT | A theory of how agents can come to understand a language is presented. If
understanding a sentence $\alpha$ is to associate an operator with $\alpha$
that transforms the representational state of the agent as intended by the
sender, then coming to know a language involves coming to know the operators
that correspond to... | computer science |
38,140 | Mental Lexicon Growth Modelling Reveals the Multiplexity of the English
Language | cs.CL | In this work we extend previous analyses of linguistic networks by adopting a
multi-layer network framework for modelling the human mental lexicon, i.e. an
abstract mental repository where words and concepts are stored together with
their linguistic patterns. Across a three-layer linguistic multiplex, we model
English ... | computer science |
38,141 | Mapping Out Narrative Structures and Dynamics Using Networks and Textual
Information | cs.CL | Human communication is often executed in the form of a narrative, an account
of connected events composed of characters, actions, and settings. A coherent
narrative structure is therefore a requisite for a well-formulated narrative --
be it fictional or nonfictional -- for informative and effective communication,
openi... | computer science |
38,142 | Dissecting a Social Botnet: Growth, Content and Influence in Twitter | cs.CY | Social botnets have become an important phenomenon on social media. There are
many ways in which social bots can disrupt or influence online discourse, such
as, spam hashtags, scam twitter users, and astroturfing. In this paper we
considered one specific social botnet in Twitter to understand how it grows
over time, ho... | computer science |
38,143 | What we write about when we write about causality: Features of causal
statements across large-scale social discourse | cs.CY | Identifying and communicating relationships between causes and effects is
important for understanding our world, but is affected by language structure,
cognitive and emotional biases, and the properties of the communication medium.
Despite the increasing importance of social media, much remains unknown about
causal sta... | computer science |
38,144 | Towards Real-Time, Country-Level Location Classification of Worldwide
Tweets | cs.IR | In contrast to much previous work that has focused on location classification
of tweets restricted to a specific country, here we undertake the task in a
broader context by classifying global tweets at the country level, which is so
far unexplored in a real-time scenario. We analyse the extent to which a
tweet's countr... | computer science |
38,145 | Logics for the Relational Syllogistic | cs.LO | The Aristotelian syllogistic cannot account for the validity of many
inferences involving relational facts. In this paper, we investigate the
prospects for providing a relational syllogistic. We identify several fragments
based on (a) whether negation is permitted on all nouns, including those in the
subject of a sente... | computer science |
38,146 | Swapping Lemmas for Regular and Context-Free Languages | cs.CC | In formal language theory, one of the most fundamental tools, known as
pumping lemmas, is extremely useful for regular and context-free languages.
However, there are natural properties for which the pumping lemmas are of
little use. One of such examples concerns a notion of advice, which depends
only on the size of an ... | computer science |
38,147 | Fly out-smarts man | cs.CL | Precopulatory courtship is a high-cost, non-well understood animal world
mystery. Drosophila's (=D.'s) precopulatory courtship not only shows marked
structural similarities with mammalian courtship, but also with human spoken
language. This suggests the study of purpose, modalities and in particular of
the power of thi... | computer science |
38,148 | A Pointillism Approach for Natural Language Processing of Social Media | cs.IR | The Chinese language poses challenges for natural language processing based
on the unit of a word even for formal uses of the Chinese language, social
media only makes word segmentation in Chinese even more difficult. In this
document we propose a pointillism approach to natural language processing.
Rather than words t... | computer science |
38,149 | A meta-analysis of state-of-the-art electoral prediction from Twitter
data | cs.SI | Electoral prediction from Twitter data is an appealing research topic. It
seems relatively straightforward and the prevailing view is overly optimistic.
This is problematic because while simple approaches are assumed to be good
enough, core problems are not addressed. Thus, this paper aims to (1) provide a
balanced and... | computer science |
38,150 | Two Algorithms for Finding $k$ Shortest Paths of a Weighted Pushdown
Automaton | cs.CL | We introduce efficient algorithms for finding the $k$ shortest paths of a
weighted pushdown automaton (WPDA), a compact representation of a weighted set
of strings with potential applications in parsing and machine translation. Both
of our algorithms are derived from the same weighted deductive logic
description of the... | computer science |
38,151 | Stochastic model for the vocabulary growth in natural languages | cs.CL | We propose a stochastic model for the number of different words in a given
database which incorporates the dependence on the database size and historical
changes. The main feature of our model is the existence of two different
classes of words: (i) a finite number of core-words which have higher frequency
and do not af... | computer science |
38,152 | The Clustering of Author's Texts of English Fiction in the Vector Space
of Semantic Fields | cs.CL | The clustering of text documents in the vector space of semantic fields and
in the semantic space with orthogonal basis has been analysed. It is shown that
using the vector space model with the basis of semantic fields is effective in
the cluster analysis algorithms of author's texts in English fiction. The
analysis of... | computer science |
38,153 | Evolution of the most common English words and phrases over the
centuries | cs.CL | By determining which were the most common English words and phrases since the
beginning of the 16th century, we obtain a unique large-scale view of the
evolution of written text. We find that the most common words and phrases in
any given year had a much shorter popularity lifespan in the 16th than they had
in the 20th... | computer science |
38,154 | Languages cool as they expand: Allometric scaling and the decreasing
need for new words | cs.CL | We analyze the occurrence frequencies of over 15 million words recorded in
millions of books published during the past two centuries in seven different
languages. For all languages and chronological subsets of the data we confirm
that two scaling regimes characterize the word frequency distributions, with
only the more... | computer science |
38,155 | Mining the Web for the Voice of the Herd to Track Stock Market Bubbles | cs.CL | We show that power-law analyses of financial commentaries from newspaper
web-sites can be used to identify stock market bubbles, supplementing
traditional volatility analyses. Using a four-year corpus of 17,713 online,
finance-related articles (10M+ words) from the Financial Times, the New York
Times, and the BBC, we s... | computer science |
38,156 | Multifractal analysis of sentence lengths in English literary texts | cs.CL | This paper presents analysis of 30 literary texts written in English by
different authors. For each text, there were created time series representing
length of sentences in words and analyzed its fractal properties using two
methods of multifractal analysis: MFDFA and WTMM. Both methods showed that
there are texts whic... | computer science |
38,157 | Language Without Words: A Pointillist Model for Natural Language
Processing | cs.CL | This paper explores two separate questions: Can we perform natural language
processing tasks without a lexicon?; and, Should we? Existing natural language
processing techniques are either based on words as units or use units such as
grams only for basic classification tasks. How close can a machine come to
reasoning ab... | computer science |
38,158 | The Twitter of Babel: Mapping World Languages through Microblogging
Platforms | cs.CL | Large scale analysis and statistics of socio-technical systems that just a
few short years ago would have required the use of consistent economic and
human resources can nowadays be conveniently performed by mining the enormous
amount of digital data produced by human activities. Although a
characterization of several ... | computer science |
38,159 | Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams
for Lambek Calculus | math.LO | The Distributional Compositional Categorical (DisCoCat) model is a
mathematical framework that provides compositional semantics for meanings of
natural language sentences. It consists of a computational procedure for
constructing meanings of sentences, given their grammatical structure in terms
of compositional type-lo... | computer science |
38,160 | Data Mining of the Concept "End of the World" in Twitter Microblogs | cs.SI | This paper describes the analysis of quantitative characteristics of frequent
sets and association rules in the posts of Twitter microblogs, related to the
discussion of "end of the world", which was allegedly predicted on December 21,
2012 due to the Mayan calendar. Discovered frequent sets and association rules
chara... | computer science |
38,161 | Identifying trends in word frequency dynamics | cs.CL | The word-stock of a language is a complex dynamical system in which words can
be created, evolve, and become extinct. Even more dynamic are the short-term
fluctuations in word usage by individuals in a population. Building on the
recent demonstration that word niche is a strong determinant of future rise or
fall in wor... | computer science |
38,162 | Explaining Zipf's Law via Mental Lexicon | cs.CL | The Zipf's law is the major regularity of statistical linguistics that served
as a prototype for rank-frequency relations and scaling laws in natural
sciences. Here we show that the Zipf's law -- together with its applicability
for a single text and its generalizations to high and low frequencies including
hapax legome... | computer science |
38,163 | Unveiling the relationship between complex networks metrics and word
senses | cs.CL | The automatic disambiguation of word senses (i.e., the identification of
which of the meanings is used in a given context for a word that has multiple
meanings) is essential for such applications as machine translation and
information retrieval, and represents a key step for developing the so-called
Semantic Web. Human... | computer science |
38,164 | Word sense disambiguation via high order of learning in complex networks | cs.CL | Complex networks have been employed to model many real systems and as a
modeling tool in a myriad of applications. In this paper, we use the framework
of complex networks to the problem of supervised classification in the word
disambiguation task, which consists in deriving a function from the supervised
(or labeled) t... | computer science |
38,165 | Complex networks analysis of language complexity | cs.CL | Methods from statistical physics, such as those involving complex networks,
have been increasingly used in quantitative analysis of linguistic phenomena.
In this paper, we represented pieces of text with different levels of
simplification in co-occurrence networks and found that topological regularity
correlated negati... | computer science |
38,166 | An Ontology for Modelling and Supporting the Process of Authoring
Technical Assessments | cs.IR | In this paper, we present a semantic web approach for modelling the process
of creating new technical and regulatory documents related to the Building
sector. This industry, among other industries, is currently experiencing a
phenomenal growth in its technical and regulatory texts. Therefore, it is
urgent and crucial t... | computer science |
38,167 | Stochastic dynamics of lexicon learning in an uncertain and nonuniform
world | cs.CL | We study the time taken by a language learner to correctly identify the
meaning of all words in a lexicon under conditions where many plausible
meanings can be inferred whenever a word is uttered. We show that the most
basic form of cross-situational learning - whereby information from multiple
episodes is combined to ... | computer science |
38,168 | Non-simplifying Graph Rewriting Termination | cs.CL | So far, a very large amount of work in Natural Language Processing (NLP) rely
on trees as the core mathematical structure to represent linguistic
informations (e.g. in Chomsky's work). However, some linguistic phenomena do
not cope properly with trees. In a former paper, we showed the benefit of
encoding linguistic str... | computer science |
38,169 | MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation | cs.SE | Many recent works aim at developing methods and tools for the processing of
semantic Web services. In order to be properly tested, these tools must be
applied to an appropriate benchmark, taking the form of a collection of
semantic WS descriptions. However, all of the existing publicly available
collections are limited... | computer science |
38,170 | Towards an Author-Topic-Term-Model Visualization of 100 Years of German
Sociological Society Proceedings | cs.DL | Author co-citation studies employ factor analysis to reduce high-dimensional
co-citation matrices to low-dimensional and possibly interpretable factors, but
these studies do not use any information from the text bodies of publications.
We hypothesise that term frequencies may yield useful information for
scientometric ... | computer science |
38,171 | Random crossings in dependency trees | cs.CL | It has been hypothesized that the rather small number of crossings in real
syntactic dependency trees is a side-effect of pressure for dependency length
minimization. Here we answer a related important research question: what would
be the expected number of crossings if the natural order of a sentence was lost
and repl... | computer science |
38,172 | Tweets Miner for Stock Market Analysis | cs.IR | In this paper, we present a software package for the data mining of Twitter
microblogs for the purpose of using them for the stock market analysis. The
package is written in R langauge using apropriate R packages. The model of
tweets has been considered. We have also compared stock market charts with
frequent sets of k... | computer science |
38,173 | The Capacity of String-Replication Systems | cs.IT | It is known that the majority of the human genome consists of repeated
sequences. Furthermore, it is believed that a significant part of the rest of
the genome also originated from repeated sequences and has mutated to its
current form. In this paper, we investigate the possibility of constructing an
exponentially larg... | computer science |
38,174 | Category theory, logic and formal linguistics: some connections, old and
new | math.CT | We seize the opportunity of the publication of selected papers from the
\emph{Logic, categories, semantics} workshop in the \emph{Journal of Applied
Logic} to survey some current trends in logic, namely intuitionistic and linear
type theories, that interweave categorical, geometrical and computational
considerations. W... | computer science |
38,175 | An evaluation of keyword extraction from online communication for the
characterisation of social relations | cs.SI | The set of interpersonal relationships on a social network service or a
similar online community is usually highly heterogenous. The concept of tie
strength captures only one aspect of this heterogeneity. Since the unstructured
text content of online communication artefacts is a salient source of
information about a so... | computer science |
38,176 | Ambiguity in language networks | cs.CL | Human language defines the most complex outcomes of evolution. The emergence
of such an elaborated form of communication allowed humans to create extremely
structured societies and manage symbols at different levels including, among
others, semantics. All linguistic levels have to deal with an astronomic
combinatorial ... | computer science |
38,177 | Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social
Media | cs.SI | The growing popularity of social media (e.g, Twitter) allows users to easily
share information with each other and influence others by expressing their own
sentiments on various subjects. In this work, we propose an unsupervised
\emph{tri-clustering} framework, which analyzes both user-level and tweet-level
sentiments ... | computer science |
38,178 | Why Are You More Engaged? Predicting Social Engagement from Word Use | cs.SI | We present a study to analyze how word use can predict social engagement
behaviors such as replies and retweets in Twitter. We compute psycholinguistic
category scores from word usage, and investigate how people with different
scores exhibited different reply and retweet behaviors on Twitter. We also
found psycholingui... | computer science |
38,179 | Information Evolution in Social Networks | cs.SI | Social networks readily transmit information, albeit with less than perfect
fidelity. We present a large-scale measurement of this imperfect information
copying mechanism by examining the dissemination and evolution of thousands of
memes, collectively replicated hundreds of millions of times in the online
social networ... | computer science |
38,180 | AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based
Assignments | cs.IR | Plagiarism is one of the growing issues in academia and is always a concern
in Universities and other academic institutions. The situation is becoming even
worse with the availability of ample resources on the web. This paper focuses
on creating an effective and fast tool for plagiarism detection for text based
electro... | computer science |
38,181 | Learning Soft Linear Constraints with Application to Citation Field
Extraction | cs.CL | Accurately segmenting a citation string into fields for authors, titles, etc.
is a challenging task because the output typically obeys various global
constraints. Previous work has shown that modeling soft constraints, where the
model is encouraged, but not require to obey the constraints, can substantially
improve seg... | computer science |
38,182 | Real-Time Classification of Twitter Trends | cs.IR | Social media users give rise to social trends as they share about common
interests, which can be triggered by different reasons. In this work, we
explore the types of triggers that spark trends on Twitter, introducing a
typology with following four types: 'news', 'ongoing events', 'memes', and
'commemoratives'. While p... | computer science |
38,183 | Home Location Identification of Twitter Users | cs.SI | We present a new algorithm for inferring the home location of Twitter users
at different granularities, including city, state, time zone or geographic
region, using the content of users tweets and their tweeting behavior. Unlike
existing approaches, our algorithm uses an ensemble of statistical and
heuristic classifier... | computer science |
38,184 | Emotion Analysis Platform on Chinese Microblog | cs.CL | Weibo, as the largest social media service in China, has billions of messages
generated every day. The huge number of messages contain rich sentimental
information. In order to analyze the emotional changes in accordance with time
and space, this paper presents an Emotion Analysis Platform (EAP), which
explores the emo... | computer science |
38,185 | The effect of wording on message propagation: Topic- and
author-controlled natural experiments on Twitter | cs.SI | Consider a person trying to spread an important message on a social network.
He/she can spend hours trying to craft the message. Does it actually matter?
While there has been extensive prior work looking into predicting popularity of
social-media content, the effect of wording per se has rarely been studied
since it is... | computer science |
38,186 | Initial Comparison of Linguistic Networks Measures for Parallel Texts | cs.CL | This paper presents preliminary results of Croatian syllable networks
analysis. Syllable network is a network in which nodes are syllables and links
between them are constructed according to their connections within words. In
this paper we analyze networks of syllables generated from texts collected from
the Croatian W... | computer science |
38,187 | Predicting Central Topics in a Blog Corpus from a Networks Perspective | cs.IR | In today's content-centric Internet, blogs are becoming increasingly popular
and important from a data analysis perspective. According to Wikipedia, there
were over 156 million public blogs on the Internet as of February 2011. Blogs
are a reflection of our contemporary society. The contents of different blog
posts are ... | computer science |
38,188 | Comparison of the language networks from literature and blogs | cs.CL | In this paper we present the comparison of the linguistic networks from
literature and blog texts. The linguistic networks are constructed from texts
as directed and weighted co-occurrence networks of words. Words are nodes and
links are established between two nodes if they are directly co-occurring
within the sentenc... | computer science |
38,189 | How to Ask for a Favor: A Case Study on the Success of Altruistic
Requests | cs.CL | Requests are at the core of many social media systems such as question &
answer sites and online philanthropy communities. While the success of such
requests is critical to the success of the community, the factors that lead
community members to satisfy a request are largely unknown. Success of a
request depends on fac... | computer science |
38,190 | Preliminary Report on the Structure of Croatian Linguistic Co-occurrence
Networks | cs.CL | In this article, we investigate the structure of Croatian linguistic
co-occurrence networks. We examine the change of network structure properties
by systematically varying the co-occurrence window sizes, the corpus sizes and
removing stopwords. In a co-occurrence window of size $n$ we establish a link
between the curr... | computer science |
38,191 | Speech earthquakes: scaling and universality in human voice | cs.CL | Speech is a distinctive complex feature of human capabilities. In order to
understand the physics underlying speech production, in this work we
empirically analyse the statistics of large human speech datasets ranging
several languages. We first show that during speech the energy is unevenly
released and power-law dist... | computer science |
38,192 | Beyond description. Comment on "Approaching human language with complex
networks" by Cong & Liu | cs.CL | Comment on "Approaching human language with complex networks" by Cong & Liu | computer science |
38,193 | A model of grassroots changes in linguistic systems | cs.CL | Linguistic norms emerge in human communities because people imitate each
other. A shared linguistic system provides people with the benefits of shared
knowledge and coordinated planning. Once norms are in place, why would they
ever change? This question, echoing broad questions in the theory of social
dynamics, has par... | computer science |
38,194 | Open System Categorical Quantum Semantics in Natural Language Processing | cs.CL | Originally inspired by categorical quantum mechanics (Abramsky and Coecke,
LiCS'04), the categorical compositional distributional model of natural
language meaning of Coecke, Sadrzadeh and Clark provides a conceptually
motivated procedure to compute the meaning of a sentence, given its grammatical
structure within a La... | computer science |
38,195 | Rule-and Dictionary-based Solution for Variations in Written Arabic
Names in Social Networks, Big Data, Accounting Systems and Large Databases | cs.DB | This paper investigates the problem that some Arabic names can be written in
multiple ways. When someone searches for only one form of a name, neither exact
nor approximate matching is appropriate for returning the multiple variants of
the name. Exact matching requires the user to enter all forms of the name for
the se... | computer science |
38,196 | SciRecSys: A Recommendation System for Scientific Publication by
Discovering Keyword Relationships | cs.DL | In this work, we propose a new approach for discovering various relationships
among keywords over the scientific publications based on a Markov Chain model.
It is an important problem since keywords are the basic elements for
representing abstract objects such as documents, user profiles, topics and many
things else. O... | computer science |
38,197 | Variation of word frequencies in Russian literary texts | cs.CL | We study the variation of word frequencies in Russian literary texts. Our
findings indicate that the standard deviation of a word's frequency across
texts depends on its average frequency according to a power law with exponent
$0.62,$ showing that the rarer words have a relatively larger degree of
frequency volatility ... | computer science |
38,198 | Complexity and universality in the long-range order of words | cs.CL | As is the case of many signals produced by complex systems, language presents
a statistical structure that is balanced between order and disorder. Here we
review and extend recent results from quantitative characterisations of the
degree of order in linguistic sequences that give insights into two relevant
aspects of l... | computer science |
38,199 | All Who Wander: On the Prevalence and Characteristics of Multi-community
Engagement | cs.SI | Although analyzing user behavior within individual communities is an active
and rich research domain, people usually interact with multiple communities
both on- and off-line. How do users act in such multi-community environments?
Although there are a host of intriguing aspects to this question, it has
received much les... | computer science |
38,200 | Deep Feelings: A Massive Cross-Lingual Study on the Relation between
Emotions and Virality | cs.SI | This article provides a comprehensive investigation on the relations between
virality of news articles and the emotions they are found to evoke. Virality,
in our view, is a phenomenon with many facets, i.e. under this generic term
several different effects of persuasive communication are comprised. By
exploiting a high... | computer science |
38,201 | The Evolution of Sentiment Analysis - A Review of Research Topics,
Venues, and Top Cited Papers | cs.CL | Sentiment analysis is one of the fastest growing research areas in computer
science, making it challenging to keep track of all the activities in the area.
We present a computer-assisted literature review, where we utilize both text
mining and qualitative coding, and analyze 6,996 papers from Scopus. We find
that the r... | computer science |
38,202 | You Are What You Eat... Listen to, Watch, and Read | cs.SI | This article describes a data driven method for deriving the relationship
between personality and media preferences. A qunatifiable representation of
such a relationship can be leveraged for use in recommendation systems and
ameliorate the "cold start" problem. Here, the data is comprised of an original
collection of 1... | computer science |
38,203 | Talk it up or play it down? (Un)expected correlations between
(de-)emphasis and recurrence of discussion points in consequential U.S.
economic policy meetings | cs.SI | In meetings where important decisions get made, what items receive more
attention may influence the outcome. We examine how different types of
rhetorical (de-)emphasis -- including hedges, superlatives, and contrastive
conjunctions -- correlate with what gets revisited later, controlling for item
frequency and speaker.... | computer science |
38,204 | The ontogeny of discourse structure mimics the development of literature | cs.CL | Discourse varies with age, education, psychiatric state and historical epoch,
but the ontogenetic and cultural dynamics of discourse structure remain to be
quantitatively characterized. To this end we investigated word graphs obtained
from verbal reports of 200 subjects ages 2-58, and 676 literary texts spanning
~5,000... | computer science |
38,205 | Automatic Data Deformation Analysis on Evolving Folksonomy Driven
Environment | cs.IR | The Folksodriven framework makes it possible for data scientists to define an
ontology environment where searching for buried patterns that have some kind of
predictive power to build predictive models more effectively. It accomplishes
this through an abstractions that isolate parameters of the predictive modeling
proc... | computer science |
38,206 | Mathematical Foundations for a Compositional Distributional Model of
Meaning | cs.CL | We propose a mathematical framework for a unification of the distributional
theory of meaning in terms of vector space models, and a compositional theory
for grammatical types, for which we rely on the algebra of Pregroups,
introduced by Lambek. This mathematical framework enables us to compute the
meaning of a well-ty... | computer science |
38,207 | Distinguishing Fact from Fiction: Pattern Recognition in Texts Using
Complex Networks | cs.CL | We establish concrete mathematical criteria to distinguish between different
kinds of written storytelling, fictional and non-fictional. Specifically, we
constructed a semantic network from both novels and news stories, with $N$
independent words as vertices or nodes, and edges or links allotted to words
occurring with... | computer science |
38,208 | Towards Design and Implementation of a Language Technology based
Information Processor for PDM Systems | cs.IR | Product Data Management (PDM) aims to provide 'Systems' contributing in
industries by electronically maintaining organizational data, improving data
repository system, facilitating with easy access to CAD and providing
additional information engineering and management modules to access, store,
integrate, secure, recove... | computer science |
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