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A sentiment-based filteration and data analysis framework for social media

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...

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Main Authors: Abd Ghani, Norjihan, Mohamad Kamal, Siti Syahidah
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/15645/1/PID031.pdf
http://repo.uum.edu.my/15645/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
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spelling my.uum.repo.156452016-04-12T02:22:34Z http://repo.uum.edu.my/15645/ A sentiment-based filteration and data analysis framework for social media Abd Ghani, Norjihan Mohamad Kamal, Siti Syahidah QA75 Electronic computers. Computer science 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/15645/1/PID031.pdf 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. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abd Ghani, Norjihan
Mohamad Kamal, Siti Syahidah
A sentiment-based filteration and data analysis framework for social media
description 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.
format Conference or Workshop Item
author Abd Ghani, Norjihan
Mohamad Kamal, Siti Syahidah
author_facet Abd Ghani, Norjihan
Mohamad Kamal, Siti Syahidah
author_sort Abd Ghani, Norjihan
title A sentiment-based filteration and data analysis framework for social media
title_short A sentiment-based filteration and data analysis framework for social media
title_full A sentiment-based filteration and data analysis framework for social media
title_fullStr A sentiment-based filteration and data analysis framework for social media
title_full_unstemmed A sentiment-based filteration and data analysis framework for social media
title_sort sentiment-based filteration and data analysis framework for social media
publishDate 2015
url http://repo.uum.edu.my/15645/1/PID031.pdf
http://repo.uum.edu.my/15645/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
_version_ 1644281768013987840
score 13.211869

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