There are 4 repositories under textual-analysis topic.
A Chinese financial sentiment word dictionary
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files."
Locality Sensitive Hashing for semantic similarity (Python 3.x)
Sustainable Entrepreneurship
📊 A website that graphs textual statistics from a DEV user's articles
Analysing stylistic and content-based similarity of two authors
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.
Software Engineering: Workflow Management Systems
Stock Market Prediction of S&P BSE Sensex using Numerical and Textual Analysis
Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001369
Tool for analyzing and extracting insights from Facebook Messenger conversations
Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.
goLang crawler restricted to only topic relevant/curated URLs. Includes token frequency analysis and NLP nGram detection
Examples on how to integrate the CONTMOD Service in your Applications. Visit the Website for more information!
Exploring what textual analysis for job descriptions can tell us about roles in HR.
Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience
Mémoire de recherche de M2 QESS
Bengali Text Summarizer is an open-source tool for summarizing Bengali article or text and developed in java Programming language.
Quick and dirty analyses of ISEC 2018 tweets
A website of Yiddish poetry with analytical tools.
In this repo, you’ll find a dataset of ChatGPT pseudo-news articles generated from the same reader queries responded to in New York Times and Washington Post’s “ask” columns. The code runs textual analyses comparing ChatGPT vs journalist-written column text.
Project aims to provide assistance for the developers performing NLP modelling
This project is a work requested for the discipline of Data Structures II taught in the Bachelor's Degree in Information Systems at UFPA.
Twitter Sentiment Analysis which include textual as well as visual sentiment analysis
Textual and statistical analysis of the Gorge Stewards log book; data trends, sentiment analysis, clustering, classification modeling, and prediction with the NLP BERT-based model
Python codes for analyzing textual data (Bag-of-Words, Bing Liu's Lexicon, LM Dictionary, TextBlob, Vader, TFIDF, and Ensemble Method to improve the tools. Also applying decision tree, random forest, and naive bayes classifiers to run regression analyses on the data.
Bits dissertation on stock price prediction
Applies natural language processing techniques to political speech topic modeling using Python & permutation tests using R