No abstract

This paper proposes a rule based approach for sentiment analysis from Malayalam movie reviews. The research in Sentiment Analysis nowadays become one among active research areas in natural language processing. Sentiment Analysis is the cognitive process in which the user's feeling and emotions are extracted. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, and social networks. Sentiment analysis enables computers to automate the activities performed by human for making decisions based on the sentiment of opinions, which has wide applications in data mining, web mining, and text mining. Negation Rule has been applied for extracting the Sentiments from a given text. This system gives the polarity at the sentence level for the movie reviews with an accuracy of 85%, when analysed.

The unprecedented growth of data in web, social media and the attempt to make the cognitive process using computers make Sentiment Analysis a challenging and interesting research problem. Sentiment Analysis mainly deals with the process of analyzing the sentiments or feelings from someone's expression or piece of information, and also in discovering the cognitive behavior of humans. The usage of computers to get feedback, opinion or remarks about a product, entertainment or political view of the public is very common. This paper demonstrates how Sentiment Analysis can be used in reviewing Malayalam films by using machine learning techniques. It is a hybrid approach comprising of machine learning techniques and rule based approach. This work would help the users to analyze the film criticism and also to assign the rank and popularity of new arrival films . In this work, the system checks the polarity at the sentence level, resulted in an accuracy of 91%.