A Study of News Recommender System using Natural Language Cloud Computing Services

A. A. JALBANI, Mukhtiar. MEMON, Muniba. MEMON, S. DEPAR, M. Y. KOONDHAR

Abstract


The Natural language processing is widely used for opinion mining, in which text are processed based on the sentiments. Inworld of digital society, news is ranked on the basis of their liking, disliking and number of times the news have been shared on the cowed-source networks. To compete with the other competitor, it is now necessary for the newspaper organizations to share their latest news on the crowd-sourcing platform that user can circulate news in a fast and impact full way to other users. Hence, It is difficult for the company to read all posts and recommend news to other users. For this, an automatic mechanism or framework is required to analyze the comments placed on the crowed source networks. The natural language toolkit can play its role for analyzing the comments and recommend the news. In this research, we used Google cloud natural language API for analyzing comments placed on the crowed source platforms and recommend the news based on the user feedback.


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