Make a DocumentTermMatrix faster

Importing and analyzing Twitter Data with R. Conencting to Twitter, Importing Data, Cleaning and Analyzing the Tweets.

A script that automatically infers the topics discussed in a collection of documents.

📈 Regression and Classification with UC Davis student quiz data and exam data

A text analysis project on collection of script dialogue between characters for the episode 4,5,6 of star wars

This is a project about the tidytext library created for a college project for a text mining class.

Leveraged NLP techniques such as sentiment analysis and topic modeling to analyze different stand-up comedians using LDA, lemmatization, markov models, etc.

Text miner, polarity rater with results between -100% and +100%

PRETO: A High-performance Text Mining Tool for Preprocessing Turkish Texts

This project builds a sentiment analysis model for music lyrics using R and R Shiny. We collect and label lyrics from Spotify and Genius APIs, clean the data, and use a Naive Bayes classifier with TF-IDF features. The model is deployed via R Shiny for interactive sentiment classification.

Python scripts used to calculate 3 basic similarity measures, suitable for ad hoc information retrieval systems: Levenshtein Edit Distance, Jaccard, and a Term-Document matrix.