Abd Ghani, Norjihan and Mohamad Kamal, Siti Syahidah (2015) A sentiment-based filteration and data analysis framework for social media. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

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Abstract

This paper describes a framework that explains the processes involved in the filteration and analysis of data for user generated content in social media.Previous researches have put their focus in leveraging high quality data from social media data stream, but there are many opportunities that need to be explored.This paper proposes a sentiment-based filteration and data analysis framework in identifying relevant information from data generated by users in social media.Based on the textual contents generated and spread through social media, it is assumed that each of the set of text streams/corpora might carry a sentiment associated with it regardless of its polarity bias. Due to this, the proposed framework introduces the idea of data filtering that exploits information and sentiment captured in text while at the same time adapts text analysis methods overcoming the noisy and unstructured nature of social media textual content.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN No: 978-967-0910-02-4 Jointly organized by: Universiti Utara Malaysia & Istanbul Zaim University.
Uncontrolled Keywords:	filteration, data analysis, sentiment analysis, social media
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	12 Oct 2015 07:18
Last Modified:	12 Apr 2016 02:22
URI:	https://repo.uum.edu.my/id/eprint/15645

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