Sentiment Analysis of Code-Mixed Text: A Comprehensive Review
Sentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic typing and lexical borrowing in web communication. This concept is...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Graz University of Technology
2024-02-01
|
| Series: | Journal of Universal Computer Science |
| Subjects: | |
| Online Access: | https://lib.jucs.org/article/98708/download/pdf/ |
| _version_ | 1797289322135683072 |
|---|---|
| author | Anne Perera Amitha Caldera |
| author_facet | Anne Perera Amitha Caldera |
| author_sort | Anne Perera |
| collection | DOAJ |
| description | Sentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic typing and lexical borrowing in web communication. This concept is known as code-mixing. Although extracting the opinion of text written in monolingual languages is simple and straightforward, Sentiment Analysis of code-mixed text is challenging. Classifiers fail within the context of the code-mixed text as text may consist of creative writing, spelling variations, grammatical errors, and different word orders. Hence, SA of code-mixed text is an interesting, challenging, and popular research area. This paper presents the state-of-the-art in Sentiment Analysis of code-mixed text by discussing each concept in detail. The paper also discusses the focused areas, techniques used, limitations, and performances of the studies related to code-mixing. |
| first_indexed | 2024-03-07T19:03:17Z |
| format | Article |
| id | doaj.art-515c561816444cd6a1d596c01d17ea01 |
| institution | Directory Open Access Journal |
| issn | 0948-6968 |
| language | English |
| last_indexed | 2024-03-07T19:03:17Z |
| publishDate | 2024-02-01 |
| publisher | Graz University of Technology |
| record_format | Article |
| series | Journal of Universal Computer Science |
| spelling | doaj.art-515c561816444cd6a1d596c01d17ea012024-03-01T10:41:52ZengGraz University of TechnologyJournal of Universal Computer Science0948-69682024-02-0130224226110.3897/jucs.9870898708Sentiment Analysis of Code-Mixed Text: A Comprehensive ReviewAnne Perera0Amitha Caldera1University of VavuniyaUniversity of Colombo School of ComputingSentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic typing and lexical borrowing in web communication. This concept is known as code-mixing. Although extracting the opinion of text written in monolingual languages is simple and straightforward, Sentiment Analysis of code-mixed text is challenging. Classifiers fail within the context of the code-mixed text as text may consist of creative writing, spelling variations, grammatical errors, and different word orders. Hence, SA of code-mixed text is an interesting, challenging, and popular research area. This paper presents the state-of-the-art in Sentiment Analysis of code-mixed text by discussing each concept in detail. The paper also discusses the focused areas, techniques used, limitations, and performances of the studies related to code-mixing.https://lib.jucs.org/article/98708/download/pdf/Code-mixedMonolingualNatural Language Processi |
| spellingShingle | Anne Perera Amitha Caldera Sentiment Analysis of Code-Mixed Text: A Comprehensive Review Journal of Universal Computer Science Code-mixed Monolingual Natural Language Processi |
| title | Sentiment Analysis of Code-Mixed Text: A Comprehensive Review |
| title_full | Sentiment Analysis of Code-Mixed Text: A Comprehensive Review |
| title_fullStr | Sentiment Analysis of Code-Mixed Text: A Comprehensive Review |
| title_full_unstemmed | Sentiment Analysis of Code-Mixed Text: A Comprehensive Review |
| title_short | Sentiment Analysis of Code-Mixed Text: A Comprehensive Review |
| title_sort | sentiment analysis of code mixed text a comprehensive review |
| topic | Code-mixed Monolingual Natural Language Processi |
| url | https://lib.jucs.org/article/98708/download/pdf/ |
| work_keys_str_mv | AT anneperera sentimentanalysisofcodemixedtextacomprehensivereview AT amithacaldera sentimentanalysisofcodemixedtextacomprehensivereview |