CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection
Recent works have shown that sentiment analysis on social media can be improved by fusing text with social context information. Social context is information such as relationships between users and interactions of users with content. Although existing works have already exploited the networked struc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/5/1662 |
| _version_ | 1819108739538485248 |
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| author | J. Fernando Sánchez-Rada Carlos A. Iglesias |
| author_facet | J. Fernando Sánchez-Rada Carlos A. Iglesias |
| author_sort | J. Fernando Sánchez-Rada |
| collection | DOAJ |
| description | Recent works have shown that sentiment analysis on social media can be improved by fusing text with social context information. Social context is information such as relationships between users and interactions of users with content. Although existing works have already exploited the networked structure of social context by using graphical models or techniques such as label propagation, more advanced techniques from social network analysis remain unexplored. Our hypothesis is that these techniques can help reveal underlying features that could help with the analysis. In this work, we present a sentiment classification model (CRANK) that leverages community partitions to improve both user and content classification. We evaluated this model on existing datasets and compared it to other approaches. |
| first_indexed | 2024-12-22T03:14:43Z |
| format | Article |
| id | doaj.art-93c24c22b124441488db5a0c90317667 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T03:14:43Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-93c24c22b124441488db5a0c903176672022-12-21T18:40:51ZengMDPI AGApplied Sciences2076-34172020-03-01105166210.3390/app10051662app10051662CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community DetectionJ. Fernando Sánchez-Rada0Carlos A. Iglesias1Intelligent Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, SpainIntelligent Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, SpainRecent works have shown that sentiment analysis on social media can be improved by fusing text with social context information. Social context is information such as relationships between users and interactions of users with content. Although existing works have already exploited the networked structure of social context by using graphical models or techniques such as label propagation, more advanced techniques from social network analysis remain unexplored. Our hypothesis is that these techniques can help reveal underlying features that could help with the analysis. In this work, we present a sentiment classification model (CRANK) that leverages community partitions to improve both user and content classification. We evaluated this model on existing datasets and compared it to other approaches.https://www.mdpi.com/2076-3417/10/5/1662sentiment analysissocial contextsocial network analysisonline social networks |
| spellingShingle | J. Fernando Sánchez-Rada Carlos A. Iglesias CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection Applied Sciences sentiment analysis social context social network analysis online social networks |
| title | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
| title_full | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
| title_fullStr | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
| title_full_unstemmed | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
| title_short | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
| title_sort | crank a hybrid model for user and content sentiment classification using social context and community detection |
| topic | sentiment analysis social context social network analysis online social networks |
| url | https://www.mdpi.com/2076-3417/10/5/1662 |
| work_keys_str_mv | AT jfernandosanchezrada crankahybridmodelforuserandcontentsentimentclassificationusingsocialcontextandcommunitydetection AT carlosaiglesias crankahybridmodelforuserandcontentsentimentclassificationusingsocialcontextandcommunitydetection |