Unsupervised Semantic Sentiment Analysis of IMDB Reviews


Sentiment analysis, also called opinion mining, is a typical application of Natural Language Processing (NLP) widely used to analyze a given sentence or statement's overall effect and underlying sentiment. A sentiment analysis model classifies the text into positive or negative (and sometimes neutral) sentiments in its most basic form. Therefore naturally, the most successful approaches are using supervised models that need a fair amount of labelled data to be trained. Providing such data is an expensive and time-consuming process that is not possible or readily accessible in many cases. Additionally, the output of such models is a number implying how similar the text is to the positive examples we provided during the training and does not consider nuances such as sentiment complexity of the text.

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