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
Python package developed to evaluate textual overlap (N-Grams) between two volumes of text.
Analysing stylistic and content-based similarity of two authors
Text Analysis for aLL
Interactive Interfaces for Textual Analysis in R
This repository contains the PMAAD course project from the Artificial Intelligence Degree at Universitat Politècnica de Catalunya. It models and analyzes Spotify's top 40 weekly streamed songs (2017-2021) using R. Techniques include clustering, textual analysis, and geospatial analysis to uncover music trends and characteristics.
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
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 for textual scholarship to establish quantitative relationships between versions of a text.
Software Engineering: Workflow Management Systems
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