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

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%

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

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

Tutorial on Natural Language Processing

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.