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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/15645/1/PID031.pdf |
| _version_ | 1803627011028025344 |
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| author | Abd Ghani, Norjihan Mohamad Kamal, Siti Syahidah |
| author_facet | Abd Ghani, Norjihan Mohamad Kamal, Siti Syahidah |
| author_sort | Abd Ghani, Norjihan |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T05:59:16Z |
| format | Conference or Workshop Item |
| id | uum-15645 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:59:16Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | uum-156452016-04-12T02:22:34Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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 |
| spellingShingle | QA75 Electronic computers. Computer science Abd Ghani, Norjihan Mohamad Kamal, Siti Syahidah A sentiment-based filteration and data analysis framework for social media |
| title | 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_short | A sentiment-based filteration and data analysis framework for social media |
| title_sort | sentiment based filteration and data analysis framework for social media |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/15645/1/PID031.pdf |
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