Sentiment analysis of online news text : a case study of appraisal theory
Purpose – Sentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the studies have focused on identifying sentiment polarity or orientation – wheth...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/97463 http://hdl.handle.net/10220/10627 |
| _version_ | 1811697772254986240 |
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| author | Nourbakhsh, Armineh Na, Jin-Cheon Khoo, Christopher S. G. |
| author2 | Wee Kim Wee School of Communication and Information |
| author_facet | Wee Kim Wee School of Communication and Information Nourbakhsh, Armineh Na, Jin-Cheon Khoo, Christopher S. G. |
| author_sort | Nourbakhsh, Armineh |
| collection | NTU |
| description | Purpose – Sentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the studies have focused on identifying sentiment polarity or orientation – whether a document, usually a product or movie review, carries a positive or negative sentiment. It is time for researchers to address more sophisticated kinds of sentiment analysis. This paper aims to evaluate a particular linguistic framework called appraisal theory for adoption in manual as well as automatic sentiment analysis of news text.
Design/methodology/approach – The appraisal theory is applied to the analysis of a sample of political news articles reporting on Iraq and the economic policies of George W. Bush and Mahmoud Ahmadinejad to assess its utility and to identify challenges in adopting this framework.
Findings – The framework was useful in uncovering various aspects of sentiment that should be useful for researchers, such as the appraisers and object of appraisal, bias of the appraisers and the author, type of attitude and manner of expressing the sentiment. Problems encountered include difficulty in identifying appraisal phrases and attitude categories because of the subtlety of expression in political news articles, lack of treatment of tense and timeframe, lack of a typology of emotions, and need to identify different types of behaviours (political, verbal and material actions) that reflect sentiment.
Originality/value – The study has identified future directions for research in automated sentiment analysis as well as sentiment analysis of online news text. It has also demonstrated how sentiment analysis of news text can be carried out. |
| first_indexed | 2024-10-01T08:00:34Z |
| format | Journal Article |
| id | ntu-10356/97463 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T08:00:34Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/974632020-03-07T12:15:51Z Sentiment analysis of online news text : a case study of appraisal theory Nourbakhsh, Armineh Na, Jin-Cheon Khoo, Christopher S. G. Wee Kim Wee School of Communication and Information Purpose – Sentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the studies have focused on identifying sentiment polarity or orientation – whether a document, usually a product or movie review, carries a positive or negative sentiment. It is time for researchers to address more sophisticated kinds of sentiment analysis. This paper aims to evaluate a particular linguistic framework called appraisal theory for adoption in manual as well as automatic sentiment analysis of news text. Design/methodology/approach – The appraisal theory is applied to the analysis of a sample of political news articles reporting on Iraq and the economic policies of George W. Bush and Mahmoud Ahmadinejad to assess its utility and to identify challenges in adopting this framework. Findings – The framework was useful in uncovering various aspects of sentiment that should be useful for researchers, such as the appraisers and object of appraisal, bias of the appraisers and the author, type of attitude and manner of expressing the sentiment. Problems encountered include difficulty in identifying appraisal phrases and attitude categories because of the subtlety of expression in political news articles, lack of treatment of tense and timeframe, lack of a typology of emotions, and need to identify different types of behaviours (political, verbal and material actions) that reflect sentiment. Originality/value – The study has identified future directions for research in automated sentiment analysis as well as sentiment analysis of online news text. It has also demonstrated how sentiment analysis of news text can be carried out. 2013-06-25T06:12:38Z 2019-12-06T19:43:00Z 2013-06-25T06:12:38Z 2019-12-06T19:43:00Z 2012 2012 Journal Article Khoo, C. S. G., Nourbakhsh, A., & Na, J.-C. (2012). Sentiment analysis of online news text: a case study of appraisal theory. Online Information Review, 36(6), 858-878. 1468-4527 https://hdl.handle.net/10356/97463 http://hdl.handle.net/10220/10627 10.1108/14684521211287936 en Online information review © 2012 Emerald Group Publishing Limited. |
| spellingShingle | Nourbakhsh, Armineh Na, Jin-Cheon Khoo, Christopher S. G. Sentiment analysis of online news text : a case study of appraisal theory |
| title | Sentiment analysis of online news text : a case study of appraisal theory |
| title_full | Sentiment analysis of online news text : a case study of appraisal theory |
| title_fullStr | Sentiment analysis of online news text : a case study of appraisal theory |
| title_full_unstemmed | Sentiment analysis of online news text : a case study of appraisal theory |
| title_short | Sentiment analysis of online news text : a case study of appraisal theory |
| title_sort | sentiment analysis of online news text a case study of appraisal theory |
| url | https://hdl.handle.net/10356/97463 http://hdl.handle.net/10220/10627 |
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