Social context in sentiment analysis: Formal definition, overview of current trends and framework for comparison
•We propose a definition of social context for sentiment analysis•We provide a framework for sentiment analysis approaches that use social context•We conduct a structured review of sentiment analysis with social context•Sentiment analysis benefits from the inclusion of social context•We discuss insi...
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| Vydáno v: | Information fusion Ročník 52; s. 344 - 356 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.12.2019
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| ISSN: | 1566-2535, 1872-6305 |
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| Abstract | •We propose a definition of social context for sentiment analysis•We provide a framework for sentiment analysis approaches that use social context•We conduct a structured review of sentiment analysis with social context•Sentiment analysis benefits from the inclusion of social context•We discuss insights about different techniques and their performance
Sentiment analysis in social media is harder than in other types of text due to limitations such as abbreviations, jargon, and references to existing content or concepts. Nevertheless, social media provides more information beyond text, such as linked media, user reactions, and relations between users. We refer to this information as social context. Recent works have successfully leveraged the fusion of text with social context for sentiment analysis tasks. However, these works are usually limited to specific aspects of social context, and there have not been any attempts to analyze and apply social context systematically. This work aims to bridge this gap by providing three main contributions: 1) a formal definition of social context; 2) a framework for classifying and comparing approaches that use social context; 3) a review of existing works based on the defined framework. |
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| AbstractList | •We propose a definition of social context for sentiment analysis•We provide a framework for sentiment analysis approaches that use social context•We conduct a structured review of sentiment analysis with social context•Sentiment analysis benefits from the inclusion of social context•We discuss insights about different techniques and their performance
Sentiment analysis in social media is harder than in other types of text due to limitations such as abbreviations, jargon, and references to existing content or concepts. Nevertheless, social media provides more information beyond text, such as linked media, user reactions, and relations between users. We refer to this information as social context. Recent works have successfully leveraged the fusion of text with social context for sentiment analysis tasks. However, these works are usually limited to specific aspects of social context, and there have not been any attempts to analyze and apply social context systematically. This work aims to bridge this gap by providing three main contributions: 1) a formal definition of social context; 2) a framework for classifying and comparing approaches that use social context; 3) a review of existing works based on the defined framework. |
| Author | Sánchez-Rada, J. Fernando Iglesias, Carlos A. |
| Author_xml | – sequence: 1 givenname: J. Fernando orcidid: 0000-0003-3545-9252 surname: Sánchez-Rada fullname: Sánchez-Rada, J. Fernando email: jf.sanchez@upm.es – sequence: 2 givenname: Carlos A. orcidid: 0000-0002-1755-2712 surname: Iglesias fullname: Iglesias, Carlos A. email: carlosangel.iglesias@upm.es |
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| Keywords | Sentiment analysis Social network analysis Social context Online social networks |
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