Welcome to the InfoSci Platform
Reference Hub3
Crowdsourced Social Media Reaction Analysis for Recommendation

Crowdsourced Social Media Reaction Analysis for Recommendation

Jaiprakash Vinodkumar Verma, Sudeep Tanwar, Sanjay Garg, Abhay Dinesh Rathod
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 19
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781799861829|DOI: 10.4018/IJKSS.2021010101
Cite Article Cite Article

MLA

Verma, Jaiprakash Vinodkumar, et al. "Crowdsourced Social Media Reaction Analysis for Recommendation." IJKSS vol.12, no.1 2021: pp.1-19. http://doi.org/10.4018/IJKSS.2021010101

APA

Verma, J. V., Tanwar, S., Garg, S., & Rathod, A. D. (2021). Crowdsourced Social Media Reaction Analysis for Recommendation. International Journal of Knowledge and Systems Science (IJKSS), 12(1), 1-19. http://doi.org/10.4018/IJKSS.2021010101

Chicago

Verma, Jaiprakash Vinodkumar, et al. "Crowdsourced Social Media Reaction Analysis for Recommendation," International Journal of Knowledge and Systems Science (IJKSS) 12, no.1: 1-19. http://doi.org/10.4018/IJKSS.2021010101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

A pre-analysis is always important for crucial decision making in many events where reviews, feedback, and comments posted by different stakeholders play an important role. Summaries generated by humans are mostly based on abstractive summarization. It sometimes changes the meaning of the text. This paper proposes a customized extractive summarization approach to generate a summary of large text extracted from social media viz. Twitter, YouTube review, feedback, comments, etc. for a movie. The proposed approach where PageRank with k-means clustering was used to select representative sentences from a large number of reviews and feedback. Cluster heads were selected based on the customization of PageRank. The proposed approach shows improved results over the graph-based TextRank approach with and without synonyms. It can be applied to predict trends for items other than movies through the social media platform.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.