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Author/Affiliation: Rafik LasriOpen AccessArticle
5 Pages, 816 KB 
Inferring Topics within Social Networking Big Data, Towards an Alternative for Socio-Political Measurement
Abstract:
This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Information Systems in Computer Science (CIS))