README.md

In okugami79/sentiment140: NLP sentiment analysis tool in R

sentiment140

R package for Twitter sentiment text analysis

If you want quick, no NLP training, headache free sentiment analysis with Twitter text/grammar in R. Try this one!

• Easy to use, quick to run your own sentiment analysis of Twitter context free grammer

• No additional installation of NLP components - it uses free sentiment140 service, they do vocaburay training, syntax of hash, http link etc.

• No need for vacaburary building

• Default language model is tuned for Twitter message, _context free grammer language model__

• Supported languge: English and Spanish

Installation

require(devtools)

install_github('sentiment140', 'okugami79')

library(sentiment)

sentiment('I LOVE #Apple')

sentiment('I hate #Apple')

or you can just pass vector of string message

For help in R, ?sentiment

or any issue contact me Chris Okugami : http://www.facebook.com/christopher.okugami

Manually, training your data specific NLP recogniser

This R-blogger journal article provides you with other R package, NLP parser etc for training sentiment analyser.

R-Blogger Article: "Sentiment analysis with machine learning in R" by Cheng-Jun Wang

http://www.r-bloggers.com/sentiment-analysis-with-machine-learning-in-r/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+RBloggers+%28R+bloggers%29

okugami79/sentiment140 documentation built on May 24, 2019, 12:51 p.m.