Repo for Research in the development a General Purpose Sentiment lexicon for the Yoruba Language for use in carrying out sentiment analysis and opinion mining tasks on texts available in Yoruba. This was done using NLP packages in R and based on Bing Luis Lexicon.

This is a project made by some friends and me. Using some natural language processing, it can detect diseases in a text.

App to analyze recent tweets and their sentiments.

Word Prediction for augmentative communication using markov model hypothesis

a pre-processing functions used for text cleaning in R.

Examples of text mining and statistical data analysis with R.

1. TextMining(NLP) and Feature Engineering in R

arXiv:hep-ph scraper

R library to create high quality NLP-based features from FROG output

Data and code for the paper "What we talk about when we talk about EEMs: Using text mining and topic modeling to understand building energy efficiency measures (1836-RP)."

Analyzes anti-authority sentiment on 1 million tweets between Anglosphere and Sinosphere Twitter users.

tokenization, sentiment analysis on unstructured data in R

Final project for Text Mining course.

Natural Language Processing - Course Project for the Coursera/John Hopkins Data Science Specialization Capstone course.

An R Shiny web application to help people evaluate whether or not the reproductive health information they find online is credible using a website analysis tool and visualizations.

Shows how the conversation in the New York Times (NYT) changed following the 2016 election of Donald Trump.

Natural language classification of serum protein electrophoresis reports