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This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
Updated
Jun 5, 2020
Jupyter Notebook
A Chinese financial sentiment word dictionary
This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Updated
May 2, 2022
Python
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Updated
Sep 21, 2017
Jupyter Notebook
Locality Sensitive Hashing for semantic similarity (Python 3.x)
Updated
Jun 8, 2018
Python
Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files".
Updated
Apr 25, 2022
Python
📊 A website that graphs textual statistics from a DEV user's articles
Updated
Jan 20, 2020
JavaScript
10-K's Textual Analysis: A Python package parsing SEC‘s 10-K fillings in all formats(html, txt)
Updated
Mar 30, 2020
HTML
Analysing stylistic and content-based similarity of two authors
Updated
Mar 18, 2018
Python
Interactive Interfaces for Textual Analysis in R
Sustainable Entrepreneurship
Updated
Jul 16, 2021
Jupyter Notebook
Program that performs textual analysis of Reddit data (approx. 300 GB) preprocessed by another team member. Uses Hadoop's Mapreduce to classify comments as either positive or negative based on certain keywords, negation, etc.
Updated
Apr 25, 2018
Java
Stock Market Prediction of S&P BSE Sensex using Numerical and Textual Analysis
Updated
Feb 1, 2022
Jupyter Notebook
Software Engineering: Workflow Management Systems
Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.
Updated
Oct 12, 2020
Jupyter Notebook
goLang crawler restricted to only topic relevant/curated URLs. Includes token frequency analysis and NLP nGram detection
A website of Yiddish poetry with analytical tools.
Quick and dirty analyses of ISEC 2018 tweets
Textual Analysis of Daily Princetonian Archives
Examples on how to integrate the CONTMOD Service in your Applications. Visit the Website for more information!
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