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Showing posts from September, 2014

Tweet Sentiment Analysis

Hey there,

It’s been a while since we last posted but we are pretty excited about our new sentiment analysis transforms so I thought I would make a quick post about it.

Sentiment analysis can be described as the use of natural language processing (NLP) to extract the attitude/opinion of a writer towards a specific topic. With the overwhelming amount of data being posted on the Internet every day and no way to read it all, sentiment analysis has become a really useful tool for extracting and aggregating opinions on a specific topic from many different sources. The potential use for sentiment analysis is endless, a few examples are things like brand reputation monitoring, market research, stock-exchange monitoring, etc. The transform that we built takes a Tweet as its input entity and returns either positive, neutral or negative entity. This way a large amount of Tweets can easily be categorized according to their sentiment.

Although sentiment extraction is a relatively new area of r…