Project based on text mining:

This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.

This project is to perform some tasks that are commonly used in Natural Language Processing. This includes design of the shiny app to analyze the Toyota Camry car reviews. The reviews are available online and it will be programmatically downloaded and their sentiment score will be predicted.

Sentiment Analysis of Scraped Royal Caribbean Cruise Customer Reviews

Creation of a sentiment lexicon using Facebook reactions data

Sentiment analysis is the process of understanding, extracting and processing data textual automatically to get the sentiment information contained in a sentence of opinion expressed in the form and group them into three groups: positive opinions, negative opinions, or neutral.

A data package containing lexicons and dictionaries for text analysis

R Interface to LexMapr (via docker)

Russian Lexicons for Text Analysis

Simple R script to download and tidy trial-level data from the OSF page for the English Lexicon Project

Repository of custom R codes to wrangle .lift and .flexttext output of FLEx into a new SFM database to be re-imported into a new FLEx dictionary/lexicon project.