Wallet App Credibility Analysis Based on App Content and User
Online
reviews have become a valuable resource for decision making. In recent years,
analysis of reviews has attracted significant attention. Individuals and
organizations in making purchase and other organizational decisions are
increasingly using online reviews. Positive reviews acclaim significant
financial gains, fame and prestige for businesses in market. On the other end,
this gives strong enticement to fraudulent to hypocrite the system by posting
disingenuous reviews to promote or to vilify some target products and services,
which is known as opinion spam. Therefore, we made this research effort as an
initial impetus in the direction to identify the presence of fake reviews. We
performed this experiment on Wallet Apps accessible through Google Play Store.
To do so, we rate applications based on features availability existence in
Google App based on App content and user reactions. We computed four major
scores- Description score, Positive Store, Negative Store and Review Tag Score
and finally assigned a cumulative normalized score to all Wallet Apps. Further,
a comparative analysis has been done between cumulative normalized score and
stated Google App rating. Significant deviation indicates a strong probability
that application has an opinion spam.Keywords—Opinion Spam; Google App; Wallet
App; Fake Reviews; Information Retrieval
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