Tools for fast text stemming & lemmatization

Structural Topic Modeling in R (published two articles on Medium). STM, LDA, metadata, NLP.

Functions that will make life less sad when working with abbreviated text for multiclassification tasks

stress detection in social networks

Explore your Twitter activity with R: Sentiment Analysis and Data Visualization. How to analyze your Twitter account (or any account), discover your habits and sentiments with the "rtweet" package and NLP.

Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.

The purpose of this project is to connect an ontology(from Protégé) to RStudio and retrieve the details of each class of the ontology on which we have analysed and retrived 5 keywords for each class using tf–idf and also calculate the page rank based on a query search using cosine distance.

Text-Mining of IMDB top 50 movies data, Movie Description (plot)