• Swati S. Rajure
• Sunil Deokule

Due to the huge development of social media and many networking platform, large numbers of data got generated and documents are created by showing reader’s emotions. Differentiating to the previous studies which focused on author’s perspective, our research focuses on readers’ emotions. Our research provides meaningful assistance in social media application such as sentiment retrieval, opinion summarization and election prediction. In this paper, we predict the reader’s emotion of networking based on the social media. More specifically, we construct the opinion network based on the semantic. The communities in the news network indicate specific events which are related to the emotions. Therefore, the opinion network serves as the lexicon between events and corresponding emotions. We leverage neighbor relationship in network to predict readers’ emotions. As a result, our methods obtain better result than the state-of-the-art methods. Moreover, we developed a growing strategy to prune the network for practical application. The experiment verifies the rationality of the reduction for application.

Perspective, Retrieval, Emotions, Prediction.

"Prediction Social Emotions from Readers Perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1-3, June 2019, Available :http://www.jetir.org/papers/JETIR1906J84.pdf

"Prediction Social Emotions from Readers Perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1-3, June 2019, Available at : http://www.jetir.org/papers/JETIR1906J84.pdf