Systematic reviews in sentiment analysis: a tertiary study
<p>With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's feelings and opinions for an entity. The field of sentiment a...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2022
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513567948013568 |
|---|---|
| author | Alexander Ligthart (14150871) |
| author2 | Cagatay Catal (6897842) Bedir Tekinerdogan (6897839) |
| author2_role | author author |
| author_facet | Alexander Ligthart (14150871) Cagatay Catal (6897842) Bedir Tekinerdogan (6897839) |
| author_role | author |
| dc.creator.none.fl_str_mv | Alexander Ligthart (14150871) Cagatay Catal (6897842) Bedir Tekinerdogan (6897839) |
| dc.date.none.fl_str_mv | 2022-11-22T21:12:49Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10462-021-09973-3 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Systematic_reviews_in_sentiment_analysis_a_tertiary_study/21597165 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Artificial intelligence Linguistics Artificial Intelligence Linguistics and Language Language and Linguistics |
| dc.title.none.fl_str_mv | Systematic reviews in sentiment analysis: a tertiary study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's feelings and opinions for an entity. The field of sentiment analysis has been the topic of extensive research in the past decades. In this paper, we present the results of a tertiary study, which aims to investigate the current state of the research in this field by synthesizing the results of published secondary studies (i.e., systematic literature review and systematic mapping study) on sentiment analysis. This tertiary study follows the guidelines of systematic literature reviews (SLR) and covers only secondary studies. The outcome of this tertiary study provides a comprehensive overview of the key topics and the different approaches for a variety of tasks in sentiment analysis. Different features, algorithms, and datasets used in sentiment analysis models are mapped. Challenges and open problems are identified that can help to identify points that require research efforts in sentiment analysis. In addition to the tertiary study, we also identified recent 112 deep learning-based sentiment analysis papers and categorized them based on the applied deep learning algorithms. According to this analysis, LSTM and CNN algorithms are the most used deep learning algorithms for sentiment analysis.</p><h2>Other Information</h2> <p> Published in: Artificial Intelligence Review<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10462-021-09973-3" target="_blank">http://dx.doi.org/10.1007/s10462-021-09973-3</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_1e4699e239d7ccd9de6301cf9521db2c |
| identifier_str_mv | 10.1007/s10462-021-09973-3 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21597165 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Systematic reviews in sentiment analysis: a tertiary studyAlexander Ligthart (14150871)Cagatay Catal (6897842)Bedir Tekinerdogan (6897839)Artificial intelligenceLinguisticsArtificial IntelligenceLinguistics and LanguageLanguage and Linguistics<p>With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's feelings and opinions for an entity. The field of sentiment analysis has been the topic of extensive research in the past decades. In this paper, we present the results of a tertiary study, which aims to investigate the current state of the research in this field by synthesizing the results of published secondary studies (i.e., systematic literature review and systematic mapping study) on sentiment analysis. This tertiary study follows the guidelines of systematic literature reviews (SLR) and covers only secondary studies. The outcome of this tertiary study provides a comprehensive overview of the key topics and the different approaches for a variety of tasks in sentiment analysis. Different features, algorithms, and datasets used in sentiment analysis models are mapped. Challenges and open problems are identified that can help to identify points that require research efforts in sentiment analysis. In addition to the tertiary study, we also identified recent 112 deep learning-based sentiment analysis papers and categorized them based on the applied deep learning algorithms. According to this analysis, LSTM and CNN algorithms are the most used deep learning algorithms for sentiment analysis.</p><h2>Other Information</h2> <p> Published in: Artificial Intelligence Review<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10462-021-09973-3" target="_blank">http://dx.doi.org/10.1007/s10462-021-09973-3</a></p>2022-11-22T21:12:49ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10462-021-09973-3https://figshare.com/articles/journal_contribution/Systematic_reviews_in_sentiment_analysis_a_tertiary_study/21597165CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215971652022-11-22T21:12:49Z |
| spellingShingle | Systematic reviews in sentiment analysis: a tertiary study Alexander Ligthart (14150871) Artificial intelligence Linguistics Artificial Intelligence Linguistics and Language Language and Linguistics |
| status_str | publishedVersion |
| title | Systematic reviews in sentiment analysis: a tertiary study |
| title_full | Systematic reviews in sentiment analysis: a tertiary study |
| title_fullStr | Systematic reviews in sentiment analysis: a tertiary study |
| title_full_unstemmed | Systematic reviews in sentiment analysis: a tertiary study |
| title_short | Systematic reviews in sentiment analysis: a tertiary study |
| title_sort | Systematic reviews in sentiment analysis: a tertiary study |
| topic | Artificial intelligence Linguistics Artificial Intelligence Linguistics and Language Language and Linguistics |