A survey on opinion summarization technique s for social media

Authors

Mohammed Elsaid Moussa, Computer Science Dept., Faculty of Computers and Information, Helwan University, Cairo, EgyptFollow
Ensaf Hussein Mohamed, Computer Science Dept., Faculty of Computers and Information, Helwan University, Cairo, EgyptFollow
Mohamed H. Haggag, Helwan UniversityFollow

Abstract

The volume of data on the social media is huge and even keeps increasing. The need for efficient processing of this extensive information resulted in increasing research interest in knowledge engineering tasks such as Opinion Summarization. This survey shows the current opinion summarization challenges for social media, then the necessary pre-summarization steps like preprocessing, features extraction, noise elimination, and handling of synonym features. Next, it covers the various approaches used in opinion summarization like Visualization, Abstractive, Aspect based, Query-focused, Real Time, Update Summarization, and highlight other Opinion Summarization approaches such as Contrastive, Concept-based, Community Detection, Domain Specific, Bilingual, Social Bookmarking, and Social Media Sampling. It covers the different datasets used in opinion summarization and future work suggested in each technique. Finally, it provides different ways for evaluating opinion summarization.

Recommended Citation

Moussa, Mohammed Elsaid; Mohamed, Ensaf Hussein; and Haggag, Mohamed H. (2018) "A survey on opinion summarization technique s for social media," Future Computing and Informatics Journal: Vol. 3: Iss. 1, Article 8.
Available at: https://digitalcommons.aaru.edu.jo/fcij/vol3/iss1/8