Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (561kB) | Preview |
Sánchez Rada, Juan Fernando and Iglesias Fernández, Carlos Ángel (2020). CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection. "Applied Sciences-Basel", v. 10 (n. 5); pp. 1-22. ISSN 2076-3417. https://doi.org/10.3390/app10051662.
Title: | CRANK: A Hybrid Model for User and Content Sentiment Classification Using Social Context and Community Detection |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Applied Sciences-Basel |
Date: | March 2020 |
ISSN: | 2076-3417 |
Volume: | 10 |
Subjects: | |
Freetext Keywords: | Sentiment analysis; social context; social network analysis; online social networks |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Ingeniería de Sistemas Telemáticos |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (561kB) | Preview |
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.
Type | Code | Acronym | Leader | Title |
---|---|---|---|---|
Government of Spain | TEC2015-68284-R | SEMOLA | Carlos A. Iglesias; Tomás Robles | Tecnologías de Análisis de Sentimientos y emociones para agentes sociales empáticos en inteligencia ambiental |
Horizon 2020 | 740934 | TRIVALENT | UNIVERSITA DEGLI STUDI ROMA TRE | Terrorism pReventIon Via rAdicaLisation countEr-NarraTive |
Horizon 2020 | 644632 | MixedEmotions | NATIONAL UNIVERSITY OF IRELAND GALWAY | Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets |
Item ID: | 67509 |
---|---|
DC Identifier: | https://oa.upm.es/67509/ |
OAI Identifier: | oai:oa.upm.es:67509 |
DOI: | 10.3390/app10051662 |
Official URL: | https://www.mdpi.com/2076-3417/10/5/1662 |
Deposited by: | Memoria Investigacion |
Deposited on: | 11 Jul 2021 08:30 |
Last Modified: | 11 Jul 2021 08:30 |