Abstract:
"
Machine learning is a subset of artificial intelligence (AI) that allows computers to learn
and develop on their own despite having to be specifically configured, and also it is
concerned with the development of computer programs that can access data and learn
on their own withoutthe need for user interaction. Deep learning also could be viewed
as a subset of machine learning. This is an area that is focused on computer algorithms
learning and developing on their own. Deep learning uses artificial neural networks,
which are programmed to replicate how humans think and learn, as opposed to machine
learning, which uses simpler concepts.
This project aims to detect mismatch between user review and rating on the App Store
using machine learning and deep learning. Application user reviews and ratings have a
major impact on a new user’s decision to download or not download the app. Most of
the time, end users post a bad comment and give Reviews and ratings are kind of an
advertisement for an app and these reviews always help consumers to make their
decision. From the app developer side, reviews and ratings can have a high impact on
app store optimization and app store ranking. In this kind of situation these reviews, and
ratings can be fake or false purposely or not. In this research, the researcher is going to
detect mismatch between review and ratings of applications in the app store. This will
help to calculate more correct and actual rating value for an app."
