A Chinese financial sentiment word dictionary
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Updated
Aug 21, 2021
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)
10-K's Textual Analysis: A Python package parsing SEC‘s 10-K fillings in all formats(html, txt)
Sustainable Entrepreneurship
📊 A website that graphs textual statistics from a DEV user's articles
Analysing stylistic and content-based similarity of two authors
Interactive Interfaces for Textual Analysis in R
Python package developed to evaluate textual overlap (N-Grams) between two volumes of text.
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.
Stock Market Prediction of S&P BSE Sensex using Numerical and Textual Analysis
Software Engineering: Workflow Management Systems
Software for textual scholarship to establish quantitative relationships between versions of a text.
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
Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.
Tool for analyzing and extracting insights from Facebook Messenger conversations
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