Aspect-Based Analysis of Social Media Post and its Review

Abstract

The exponential growth of the social media provides the platform to users for sharing and generating information. Once the information is shared in the social media it will receive lots of commands, reviews and reply messages. In some cases the message received will not be associated with the post shared. Taking this problem into consideration, the author proposed an aspect based sentimental analysis method for analyzing the content posted and its received messages. The sentimental score output mostly used to identify the positive, negative and neutral sentences with respect to the exacting aspect. Then a total score formulae is used to determine the association between the content posted with its reply messages. Finally, an experiment is designed and processed in different way to visualize the data are provided.