Journal Homepage: www.ijcst.org

Abstract – With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Opinion Mining is a process of automatic extraction of knowledge from the opinion of others about some particular topic or problem. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information. In this paper, design and develop a mobile rating and review summarization in mobile environment using latent semantic analysis (LSA) in support vector machines. Support vector machines and latent semantic analysis is implementing to develop rating and review summarization. Rating and review information is use sentiment analysis and feature based summarization. For classification use support vector machine (SVM), it performs the sentiment classification task also consider sentiment classification accuracy. Propose a Latent semantic analysis (LSA) to identify product features. Latent semantic analysis (LSA) is based on filtering mechanism; also find a way to reduce the size of summary based on the product feature which is obtained from Latent semantic analysis (LSA)