This repository would introduce text mining and its applications. It could also provide an overview of the different techniques used in text mining.
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Updated
Mar 9, 2023
This repository would introduce text mining and its applications. It could also provide an overview of the different techniques used in text mining.
This project focuses on analyzing Twitter trends to uncover popular topics, discussions, and user sentiments. By examining hashtags, keywords, and user interactions, valuable insights are gained in real-time social media data, aiding in understanding public opinion and identifying influential users.
Strips boilerplate from Project Gutenberg text files
running monq on spark to annotate PMC full-text articles
NewsStat is a tool for extracting statistical text from online news using R.
Research using NLP techniques to analyze IMF documents
UvA - Machine Learning for Econometrics - Data Challenge
Sentiment Analysis of Tweets from Dec 1, 2017 to Dec 21, 2017, for the hash-tag "#Bitcoin"
Google Review Analysis
Scripts for analyzing Hungarian parliamentary speeches
Word association analysis
A simple yet smart search in texts library. it will give you in percent how much a text exists in a text in python
R script for the analysis of references of Venice in the medium of poetry
Kaggle Competition
A bunch of exercises proposed in subject Laboratorio de Computación Científica (sort of introduction to data science) using R.
Disciplina Inteligência Artificial: Implementação do algoritmo Naive Bayes para Análise de Sentimentos
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