Effective Approach for Sentiment Analysis on Movie Reviews

Abstract

The increase in growth of social websites, many blogging platforms, and electronic media forums helps in analysis of public opinion related to various events. Sentiment analysis-based techniques are now very popular to determine the corresponding opinions related to products, movies, political election outcomes, and many more. Sentiment analysis-based techniques used NLP, computational linguistics, and text analysis techniques for effective extraction of text polarity. It is also used in decision-making process by extracting personal information and analyzing the opinion. It is also used for analyzing positive and negative reviews that allow us to measure the amount of positivity and negativity an entity is entangled. It is the field which helps us to get better understanding in analyzing people’s emotion, reviews, and attitudes from written languages. This paper has proposed a framework for effective extraction of sentiments present in movie reviews. We also need to pay attention on field of classification techniques for different opinions, performed on any kind of set of data. Nowadays, this approach is used by everyone like researchers who deal with sentiment analysis.