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.

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files."

Text Analysis for aLL

EDGAR filings downloader and analyzer

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

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

📊 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.

🇧🇷 A project for analyzing acceptability judgments of Brazilian Portuguese nonce words using R, focusing on syllable length and initial segment type. Includes mosaic plots and chi-square tests to assess structural effects on responses, with results suggesting no significant influence from either factor.

Analysing stylistic and content-based similarity of two authors

🐱 A project exploring relationships between Pokémon names and physical traits using R, with string-based pattern detection, group comparisons based on consonant “heaviness,” and regression models predicting weight from height and Attack. Includes hypothesis-driven name analyses and statistical summaries for both English and Japanese name sets.

🇲🇼 A project analyzing how onset consonant type affects tone realization in Malawian CiTonga verb stems, using pitch (F₀) data from phonetic fieldwork. Includes two experiments comparing mean F₀ across tonal and consonantal contexts, with statistically significant findings and clear visualizations.

Interactive Interfaces for Textual Analysis in R

Software for textual scholarship to establish quantitative relationships between versions of a text.

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