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.
The NLPbrl wrapper API is a package for wrapping The Rosette Text Analytics API's functions. It can use natural language processing, and machine learning to analyze unstructured and semi-structured text in multilingual. It can provide a large number of powerful text analyses which has largely helped people to learn about natural language processing
Research using NLP techniques to analyze IMF documents
UvA - Machine Learning for Econometrics - Data Challenge
Google Review 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
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
Web crawler and topic-extraction
Natural Language Processing, Text Mining and Information Retrieval.
Text Analytics/Mining applied to a Job Postings Analysis. The Data Scientist role case.
A module for mining text out of multi-colour pdf documents
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