Cat's eye: Media insights analyzer

Abstract

Different media are used to report news happening all around the world to the public. The news from all over the world is a big data source on the Internet. Besides, the news media have their own writing style and stands towards the news which may cause great influence towards readers’ opinion. It is valuable to analyze the insights of various media. The existing works on sentiment analysis for the news data do not have a user-friendly interface to present their work and the news data are not retrieved regularly for continuous data analysis. To address the above problems, we propose Cat's Eye Project which aims to identify the stands of different news media through the usage of the words of those media, forecast the trend of some social issues, find out whether there is any indication before a new social issue formed and present our findings by using a user-friendly interface. We build our system on Google Cloud and use the built-in machine learning algorithms on Google Cloud to develop our learning model. By using cloud technology, the system implementation period is highly reduced, and it also guarantees the scalability of our system. The output finding can be used as interesting insights. Our pilot study showed that the media can affect the readers’ opinion towards social issues.