Python Machine Learning Project Rating Prediction of Google Play Store Apps - ClickMyProject
Nowadays online reviews play a significant role in influencing the decision of consumers. Consumers show their experience and information about quality in their reviews. Online reviews typically consist of qualitative (text format) and quantitative (rating) formats. In the case of Google Play store fake numeric ratings can play a big role in the success of apps. People tend to believe that a high-star rating may be significantly attached with a good review. However, user star level rating information does not usually match with text format of review. Despite many efforts to resolve this issue, Google Play Store is still facing this problem. Here, proposes a novel Google App numeric reviews & ratings contradiction prediction framework using Machine Learning approaches. Star ratings are predicted from text format of reviews after training Machine Learning models. Experimental results demonstrate that based on actual user reviews the proposed framework significantly predicts unbiased star rating of app.
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