Mapping Technologies in Top Banks in India and Using Machine Learning Techniques to Assess Mobile Banking Services from App Reviews
Keywords:Text Mining, Semantic Analysis, Machine Learning, Banking Technologies, Google Play Store, Natural Language Processing
The banking sector in India is creating crucial changes in banking mechanisms by introducing digital means of accessing monetary and non-financial services. Mobile and internet banking have experienced prolific development with instant payment systems. Top banks in India have established not just instinctive but also very interactive and ingenious applications for mobile banking with features pivoting around customer satisfaction. Using these mobile banking applications, consumers can instantaneously perform monetary transactions, check account balances, and start investments and deposits. Our everyday life has always been impacted by what people think. Views and opinions of others have always affected our thoughts. While the Internet is influential in people's social lives, it contains more and more information concerning their views and sentiments. The distillation of knowledge from this massive amount of unstructured data is known as opinion mining and sentiment analysis. With smartphones' rapid evolution, mobile applications (Mobile Apps) have become essential parts of our lives. However, it is difficult for consumers to understand and keep track of the sphere of banking apps because new apps are entering the market every day. So, sentiment analysis  of application reviews on google play store will help the developers keep their particular applications up to date to keep their specific applications in the top lists and help the customers select the most popular application.
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Copyright (c) 2022 Pranali Shinde
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