Semantic Analysis of Twitter reviews using machine Learning
The increased amount of data collection taking place as a result of social media interaction, scientific experiments, and even e-commerce applications, the nature of data as we know it has been evolving. As a result of this data generation from many different sources, “new generation” data, presents challenges as it is not all relational and lacks predefined structures. In this paper we try to sort these issues and provide a way for better acquisition and processing of this type of data. We will be Analyzing the real time social network data and try to eliminate the Fake reviews.