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Sentiment analysis: A literature review

2020-02Conference object Open access
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dc.contributor.authorMata, Pedro
dc.contributor.authorMata, Mário Nuno
dc.contributor.authorMartins, Jessica Nunes
dc.date.accessioned2021-03-17T18:54:16Z
dc.date.available2021-03-17T18:54:16Z
dc.date.issued2020-02
dc.descriptionComunicação em conferência internacionalpt_PT
dc.description.abstractPurpose: Sentiment Analysis (SA) or Opinion Mining (OM) is the field of study for a broader topic of Natural Language Processing. SA seeks to understand people's opinions, feelings, assessments, attitudes and emotions through text to generate knowledge and relevant information on a particular subject, in the business world with a greater focus on understanding the evaluation of products. We can often resume to an interpretation of attitude behind the text whether it is positive, negative or neutral. The growing importance of SA coincides with the growth of social networks, opinions, criticism, forum discussions, blogs, among others. With this exponential evolution of data has arisen the need to apply SA in almost all social and commercial domains, because opinions are key in almost all activities and are one of the influencing factors in human and social behaviors, beliefs and perceptions of our own choices. As the opinion is one of the main influencing factors in the people's choice has made the spectrum of analysis broader for organizations making this a very relevant topic these days. This paper revealed that although there some advances for algorithms, techniques and frameworks to help SA implementations there is still a gap towards identifying benefits for business applications. The need for a systematic review arises from the requirement to summarize all relevant information about application and creation of value for SA implementations in organizations. Design/methodology/approach: Include the main method(s) used for the research. In order to draw a general conclusion about this phenomenon we will evaluate individual studies that could help us understand the main features of this field. Findings: In summary, we learned that although there some advances for algorithms, techniques and frameworks to help SA implementations there is still a gap towards identifying benefits for business applications. We believe that the results of our systematic review will help to advance future studies to search for these gaps. Originality/value: Summarize all relevant information about application and creation of value for SA implementations in organizationspt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMata, P. N., Mata, M. N. & Martins, J. (2020). Sentiment analysis: A literature review. 1st International Conference on Management, Technology and Tourism: Social Value Creation – ICOMTT2020 (p.65). Instituto Politécnico de Santarém, Santarém, 6-7 February 2020.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/13108
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstituto Politécnico de Santarémpt_PT
dc.relation.publisherversionhttp://icomtt2020.ipsantarem.pt/ebook/pt_PT
dc.subjectSentiment analysispt_PT
dc.subjectOpinion miningpt_PT
dc.subjectText miningpt_PT
dc.subjectCase studypt_PT
dc.subjectApplicationpt_PT
dc.titleSentiment analysis: A literature reviewpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSantarémpt_PT
oaire.citation.title1st International Conference on Management, Technology and Tourism: Social Value Creation – ICOMTT2020pt_PT
person.familyNameMata
person.familyNameMata
person.givenNamePedro
person.givenNameMário Nuno
person.identifier1403614
person.identifier.ciencia-idFA13-1761-4192
person.identifier.orcid0000-0001-8465-9539
person.identifier.orcid0000-0003-1765-4273
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd297cc6d-ae10-4764-ac8b-5913bda0a3c4
relation.isAuthorOfPublicationbf484e05-ab4d-4efa-9ccb-ff8a74e0f6a9
relation.isAuthorOfPublication.latestForDiscoveryd297cc6d-ae10-4764-ac8b-5913bda0a3c4

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