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README.md

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-# GeospaCy
-
-
-**GeospaCy** is a web application built in Python language used for extracting spatial relation entities (spatRE) from text and Geo-referenced them. 
-
-## Installation
-There are few Python packages that are needed to install for running the application
-
-1. Install spacy for natural language processing (NLP) tasks 
-```sh
-pip install spacy
-```
-2. Install gensim library for data preprocessing
-```sh
-pip install gensim
-```
-3. Install streamit library for running web application 
-```sh
-pip install streamlit
-```
-4. Install spacy-streamlit for display named entities (spatRE) in the text 
-```sh
-pip install spacy-streamlit
-```
-
-5. Install GeoPandas
-```sh
-pip install geopandas
-```
-6.  Install folium library for manipulating your data in Python, then visualize it in a Leaflet map via folium.
-
-```sh
-pip install folium
-```
-7. Install streamlit-folium library to visualize Leaflet map in streamlit web application
-
-```sh
-pip install streamlit-folium
-``` 
-
-## How to run the web application
-
-```sh
-streamlit run 1_🏠_Parser.py
-```
-
-## [Cite this work](https://github.com/mehtab-alam/GeospaCy/)
-
-```latex
-@inproceedings{mehtab-alam-etal-2024-geospacy,
-    title = "GeospaCy: A tool for extraction and geographical referencing of spatial expressions in textual data",
-    author = "Mehtab Alam, Syed  and
-      Arsevska, Elena  and
-      Roche, Mathieu  and
-      Teisseire, Maguelonne",
-    editor = "Aletras, Nikolaos  and
-      De Clercq, Orphee",
-    booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
-    month = mar,
-    year = "2024",
-    address = "St. Julians, Malta",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2024.eacl-demo.13",
-    pages = "115--126",
-}
-```
-