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Therefore, it leads to increased mining of opinions and sentiments and hence greater interest in sentiment analysis. The article introduces the novel Lexico-Semantic features and their use in the sentiment polarity task of English language text. These features are derived using the semantic extension of the lexicons by employing sentiment lexicons and semantic models. These features make data sample size consistent when used in deep learning settings, thereby eliminating the zero padding. For evaluation, we use different semantic models and lexicons to determine the role and impact of Lexico-Semantic features in classification performance. These features, along with the other features, are used to train the different classifiers. Our experimental evaluation shows that introducing Lexico-Semantic features to various state-of-the-art methods of both machine and deep learning improves the overall performance of classifiers. <\/jats:p>","DOI":"10.1177\/01655515221124016","type":"journal-article","created":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T12:41:32Z","timestamp":1667220092000},"page":"1449-1470","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Sentiment analysis using lexico-semantic features"],"prefix":"10.1177","volume":"50","author":[{"given":"Mudasir","family":"Mohd","sequence":"first","affiliation":[{"name":"Department of Computer Science, South Campus, University of Kashmir, India"}]},{"given":"Saheeba","family":"Javeed","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Kashmir, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8419-7685","authenticated-orcid":false,"family":"Nowsheena","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Central University of Kashmir, India"}]},{"given":"Mohsin Altaf","family":"Wani","sequence":"additional","affiliation":[{"name":"Department of Computer Science, South Campus, University of Kashmir, India"}]},{"given":"Hilal Ahmad","family":"Khanday","sequence":"additional","affiliation":[{"name":"Department of Computer Science, South Campus, University of Kashmir, India"}]}],"member":"179","published-online":{"date-parts":[[2022,10,31]]},"reference":[{"key":"bibr1-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02145-9"},{"key":"bibr2-01655515221124016","first-page":"147","volume":"5","author":"Cherry C","year":"2012","journal-title":"Biomed Inform Insights"},{"key":"bibr3-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.05.050"},{"key":"bibr4-01655515221124016","first-page":"333","volume-title":"Advances in intelligent systems and computing: proceedings of the 5th international conference on soft computing for problem solving","author":"Mohd M","year":"2016"},{"key":"bibr5-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2851311"},{"key":"bibr6-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1212-z"},{"key":"bibr7-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0727-z"},{"key":"bibr8-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0727-z"},{"key":"bibr9-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-018-0805-x"},{"key":"bibr10-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2019.2937614"},{"key":"bibr11-01655515221124016","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11915-1_21"},{"key":"bibr12-01655515221124016","unstructured":"Mohammad SM, Kiritchenko S, Zhu X. 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