Numeric rating of Apps on Google Play Store by sentiment analysis on user reviews

The sudden eruption of sentiment analysis and opinion mining has opened new possibilities to improve our information gathering interests. We are always keen to know what others say about the devices or applications we are going to use. Its observed that sometimes the numeric rating has vast difference than the reviews given by the users. To remove this ambiguity a unified rating system has been proposed here. The starred rating and a generated numeric polarity of the reviews are combined to generate the final rating. The proposition is based on sentiment analysis and an optimized probabilistic approach described by a group of researchers. The approach is proved for its efficiency in a diverse corpus of writings where the targets are of different categories.