Twitter sentiment analysis with Machine Learning in R using doc2vec approach

Recently I’ve worked with word2vec and doc2vec algorithms that I found interesting from many perspectives. Even though I used them for another purpose, the main thing they were developed for is Text analysis. As I noticed, my 2014 year’s article Twitter sentiment analysis is one of the most popular blog posts on the blog even today. […]

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Twitter sentiment analysis with R

Recently I’ve designed a relatively simple code in R for analyzing Twitter posts content via calculating the number of positive, negative and neutral words. The idea of processing tweets is based on the presentation http://www.slideshare.net/ajayohri/twitter-analysis-by-kaify-rais. The words in the tweet correspond with the words in dictionaries that you can find on the internet or create by yourself. It is […]

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