![]() ![]() Why sentiment analysis is important?Ī review on anything(product, movie, person, etc.) is very important these days to get a clear picture of what the end-users think. I have seen many projects that use TextBlob as a sentiment analyzer, mostly with Twitter data or Movie review data. Uses Natural Language Toolkit to perform the tasks. TextBlob is developed by Steven Loria, it’s a python library that I have heard of Lexicon-based sentiment analyzers, particularly TextBlob, and I chose to go with it because there was no time to experiment with some new algorithm. I have a good interest in NLP and Sentiment analysis is a major part of it. So the conclusion was I have to analyze review data and classify them into Negative, Positive, and Neutral and I had to deliver it the next Monday. Honestly, I was dreaming and I was very much sleepy, Thanks to the call recorder that helped me listen to the requirements and deadline once again. I t was 6:30 AM on a Thursday, I got a call from my senior regarding a project on sentiment analysis. This article was published as a part of the Data Science Blogathon ![]()
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