Development of a Framework for Ontology Based Sentiment Analysis on Social Media
Developing internet technology, trend social media applications and web 2.0 have changed the internet usage habits of internet users. By this means the internet users have started to share their feelings and thoughts on social media from anywhere at anytime. With the increasement of social media usa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pamukkale University
2015-10-01
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| Series: | Pamukkale University Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/pajes/issue/20560/219120 |
| _version_ | 1797917741589463040 |
|---|---|
| author | Kadir Tutar Levent Toker Murat Ünalır |
| author_facet | Kadir Tutar Levent Toker Murat Ünalır |
| author_sort | Kadir Tutar |
| collection | DOAJ |
| description | Developing internet technology, trend social media applications and web 2.0 have changed the internet usage habits of internet users. By this means the internet users have started to share their feelings and thoughts on social media from anywhere at anytime. With the increasement of social media usage, valuable feedback data has been increased more and more as well. To this end collection, interpretation and evaluation of this data has come into importance. 'Sentiment analysis' and 'natural language process' methods have been used on text-based data for evaluation and opinion mining to overcome this necessity. In this study, a new ontology-based sentiment analysis method has been developed in order to enhance the accuracy of results that obtained by current sentiment analysis methods. This newly developed method requires to model the domain-specific information on the ontology prior to the analysis procedure. Though this approach, more accurate and more qualified results have been provided to obtain in compared to classic sentiment analysis methods. Another important and innovative feature of this developed infrastructure is being able to do Turkish based sentiment analysis. |
| first_indexed | 2024-04-10T13:19:19Z |
| format | Article |
| id | doaj.art-96e3b519895145bb960765c3cab6e264 |
| institution | Directory Open Access Journal |
| issn | 1300-7009 2147-5881 |
| language | English |
| last_indexed | 2024-04-10T13:19:19Z |
| publishDate | 2015-10-01 |
| publisher | Pamukkale University |
| record_format | Article |
| series | Pamukkale University Journal of Engineering Sciences |
| spelling | doaj.art-96e3b519895145bb960765c3cab6e2642023-02-15T16:12:09ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812015-10-01215194202218Development of a Framework for Ontology Based Sentiment Analysis on Social MediaKadir TutarLevent TokerMurat ÜnalırDeveloping internet technology, trend social media applications and web 2.0 have changed the internet usage habits of internet users. By this means the internet users have started to share their feelings and thoughts on social media from anywhere at anytime. With the increasement of social media usage, valuable feedback data has been increased more and more as well. To this end collection, interpretation and evaluation of this data has come into importance. 'Sentiment analysis' and 'natural language process' methods have been used on text-based data for evaluation and opinion mining to overcome this necessity. In this study, a new ontology-based sentiment analysis method has been developed in order to enhance the accuracy of results that obtained by current sentiment analysis methods. This newly developed method requires to model the domain-specific information on the ontology prior to the analysis procedure. Though this approach, more accurate and more qualified results have been provided to obtain in compared to classic sentiment analysis methods. Another important and innovative feature of this developed infrastructure is being able to do Turkish based sentiment analysis.https://dergipark.org.tr/tr/pub/pajes/issue/20560/219120-sentiment analysis ontology ontology based-sentiment analysis social media feedback managementsezgi analizi ontoloji ontoloji tabanlı sezgi analizi sosyal medya geribildirim yönetimi |
| spellingShingle | Kadir Tutar Levent Toker Murat Ünalır Development of a Framework for Ontology Based Sentiment Analysis on Social Media Pamukkale University Journal of Engineering Sciences - sentiment analysis ontology ontology based-sentiment analysis social media feedback management sezgi analizi ontoloji ontoloji tabanlı sezgi analizi sosyal medya geribildirim yönetimi |
| title | Development of a Framework for Ontology Based Sentiment Analysis on Social Media |
| title_full | Development of a Framework for Ontology Based Sentiment Analysis on Social Media |
| title_fullStr | Development of a Framework for Ontology Based Sentiment Analysis on Social Media |
| title_full_unstemmed | Development of a Framework for Ontology Based Sentiment Analysis on Social Media |
| title_short | Development of a Framework for Ontology Based Sentiment Analysis on Social Media |
| title_sort | development of a framework for ontology based sentiment analysis on social media |
| topic | - sentiment analysis ontology ontology based-sentiment analysis social media feedback management sezgi analizi ontoloji ontoloji tabanlı sezgi analizi sosyal medya geribildirim yönetimi |
| url | https://dergipark.org.tr/tr/pub/pajes/issue/20560/219120 |
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