Sentiment Analysis is a new concept in Research and is useful in many other fields. Most of the data is collected from surveys, comments, and reviews. All the collected data is used to improve products and services provided by both private organizations and governments around the world. In this project sentiment analysis of reviews can be done using opinion mining, feature based and supervised machine learning. The objective of the paper is to determine polarity of reviews using parts of speech i.e., nouns, verbs, and adjectives as opinion words. Here, the reviews are classified into positive and negative categories. Reviews of IMdb are used as source dataset and NLTK for parts of speech tagging. This project also contains some facts about the classification of data on basis of polarity.
Software And Hardware