Dictionary based sentiment analysis that considers valence shifters

Sentiment analysis and visualization of real-time tweets using R

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

An integrated framework in R for textual sentiment time series aggregation and prediction

R package to perform sentiment analysis and Parts of Speech tagging for Dutch/French/English/German/Spanish/Italian

Semi-supervised algorithm for document scaling

An emotion-polarity classifier specifically trained on developers' communication channels

Scripts for exploring emotions in GitHub messages

Out-of-the-box analysis and reporting tools for twitter

Simple sentiment analysis framework for R

flairR: Bring Amazing Flair NLP to R

Dictionaries for sentiment analysis

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

performing sentiment analysis on the whatsapp chats.

Complete Guide to text processing and sentiment analysis on Twitter data.

Sentiment analysis and opinion mining of Reddit data.

Sentiment Analysis and Trend Monitoring to Predict Cryptocurrency Market Movements

Code for my blog post about text mining Last Week Tonight comments