Localized twitter opinion mining using sentiment analysis

Syed Anwar Hridoy, M. Tahmid Ekram, Mohammad Islam, Faysal Ahmed and Rashedur Rahman

Analysis of public information from social media could yield interesting results and insights into the world of public opinions about almost any product, service or personality. Social network data is one of the most effective and accurate indicators of public sentiment. In this paper we have discussed a methodology which allows utilization and interpretation of twitter data to determine public opinions. Analysis was done on tweets about the iPhone 6. Feature specific popularities and male-female specific analysis has been included. Mixed opinions were found but general consistency with outside reviews and comments was observed.

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Year of publication:	2015
Authors:	Hridoy, Syed Anwar ; Ekram, M. Tahmid ; Bhuiyan, Mohammad Mafijul Islam ; Ahmed, Faysal ; Rahman, Rashedur
Subject:	Data mining \| Natural language processing \| SNLP \| SentiWord \| Rapid Miner \| Data Mining \| Bergbau \| Mining \| Social Web \| Social web

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