Sentiment Analysis of Online Mobile Reviews

Semantic analysis is a method used to get the user's reviews or opinions regarding a specific topic. Now a day, due to increasing the technology we can get the opinions of the users with web mining. In our proposed work we present an algorithm to mining the user's positive and negative reviews. For this purpose first we collect the data from the famous online shopping websites and get the reviews of the users related to mobile handsets. In this process, we define 6 common features Camera, Battery, Screen, Sounds, Design and hardware/software performance, of three handsets and then find and collect related reviews as dataset for our proposed algorithm. We also collect the negative and positive words that are commonly used for reviews. For review mining, we use MATLAB as simulation platform. Our proposed algorithm counts the positive and negative features for getting the reviews results. Then all are compared. Our proposed algorithm is describing very effective results and has successfully comprised the features properties of the handsets.