Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381330884> ?p ?o ?g. }
- W4381330884 abstract "Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a particular entity is sentiment analysis (SA). Advancements in e-commerce platforms has led to an abundance of the real-time and free forms of opinions floating on social media platforms. This real-world data are imprecise and vague hence fuzzy logic is required to deal with such subjective data. Since opinions can be fuzzy in nature and definitions of opinion words can be elucidated differently; fuzzy logic has witnessed itself as an effective method to capture the expression of opinions. The study presents an elaborate review of the around 170 published research works for SA using fuzzy logic. The primary emphasis is focused on text-based SA, audio-based SA, and fusion of text-audio features-based SA. This article discusses the various novel ways of classifying fuzzy logic-based SA research articles, which have not been accomplished by any other review article till date. The article puts forward the importance of SA tasks and identifies how fuzzy logic adds to this importance. Finally, the article outlines a taxonomy for sentiment classification based on the technique-supervised and unsupervised in the SA models and comprehensively reviews the SA approaches specific to their task. Prominently, this study highlights the suitability of fuzzy-based SA approaches into five different classes vis-a-vis (a) Sentiment Cognition from Words using fuzzy logic, (b) Sentiment Cognition from Phrases using fuzzy logic, (c) Fuzzy-rule based SA, (d) Neuro-fuzzy network-based SA, and (e) Fuzzy Emotion Recognition. This article is categorized under: Algorithmic Development > Text Mining Fundamental Concepts of Data and Knowledge > Motivation and Emergence of Data Mining" @default.
- W4381330884 created "2023-06-21" @default.
- W4381330884 creator A5031703549 @default.
- W4381330884 creator A5049037342 @default.
- W4381330884 creator A5085081785 @default.
- W4381330884 date "2023-06-20" @default.
- W4381330884 modified "2023-09-26" @default.
- W4381330884 title "Sentiment analysis using fuzzy logic: A comprehensive literature review" @default.
- W4381330884 cites W1543848645 @default.
- W4381330884 cites W1965235124 @default.
- W4381330884 cites W1965461531 @default.
- W4381330884 cites W1975428268 @default.
- W4381330884 cites W1982609427 @default.
- W4381330884 cites W1983286042 @default.
- W4381330884 cites W1985868814 @default.
- W4381330884 cites W1992134908 @default.
- W4381330884 cites W1994645462 @default.
- W4381330884 cites W1997898540 @default.
- W4381330884 cites W2001614588 @default.
- W4381330884 cites W2007094611 @default.
- W4381330884 cites W2010990650 @default.
- W4381330884 cites W2019207321 @default.
- W4381330884 cites W2019759670 @default.
- W4381330884 cites W2022756507 @default.
- W4381330884 cites W2025954161 @default.
- W4381330884 cites W2027784005 @default.
- W4381330884 cites W2031428927 @default.
- W4381330884 cites W2031435031 @default.
- W4381330884 cites W2039818180 @default.
- W4381330884 cites W2043837475 @default.
- W4381330884 cites W2045599215 @default.
- W4381330884 cites W2049231082 @default.
- W4381330884 cites W2050492603 @default.
- W4381330884 cites W2057308560 @default.
- W4381330884 cites W2069539533 @default.
- W4381330884 cites W2070408439 @default.
- W4381330884 cites W2076199767 @default.
- W4381330884 cites W2081294263 @default.
- W4381330884 cites W2086612585 @default.
- W4381330884 cites W2097900469 @default.
- W4381330884 cites W2099813784 @default.
- W4381330884 cites W2105499314 @default.
- W4381330884 cites W2107287535 @default.
- W4381330884 cites W2121043186 @default.
- W4381330884 cites W2135074661 @default.
- W4381330884 cites W2143808707 @default.
- W4381330884 cites W2148122886 @default.
- W4381330884 cites W2148569883 @default.
- W4381330884 cites W2165094119 @default.
- W4381330884 cites W2166706824 @default.
- W4381330884 cites W2170967251 @default.
- W4381330884 cites W2242874043 @default.
- W4381330884 cites W2296279906 @default.
- W4381330884 cites W2306706380 @default.
- W4381330884 cites W2323377304 @default.
- W4381330884 cites W2333348998 @default.
- W4381330884 cites W2337346436 @default.
- W4381330884 cites W2346793963 @default.
- W4381330884 cites W2401379394 @default.
- W4381330884 cites W2406624406 @default.
- W4381330884 cites W2417173111 @default.
- W4381330884 cites W2462290672 @default.
- W4381330884 cites W2465157137 @default.
- W4381330884 cites W2480422823 @default.
- W4381330884 cites W2508133843 @default.
- W4381330884 cites W2512602240 @default.
- W4381330884 cites W2518882743 @default.
- W4381330884 cites W2519022142 @default.
- W4381330884 cites W2542946934 @default.
- W4381330884 cites W2543549936 @default.
- W4381330884 cites W2548006041 @default.
- W4381330884 cites W2548917049 @default.
- W4381330884 cites W2550429283 @default.
- W4381330884 cites W2550799801 @default.
- W4381330884 cites W2563172398 @default.
- W4381330884 cites W2580352794 @default.
- W4381330884 cites W2581491159 @default.
- W4381330884 cites W2584429674 @default.
- W4381330884 cites W2584925103 @default.
- W4381330884 cites W2587312920 @default.
- W4381330884 cites W2587838525 @default.
- W4381330884 cites W2596622777 @default.
- W4381330884 cites W2597485909 @default.
- W4381330884 cites W2602669986 @default.
- W4381330884 cites W2605204113 @default.
- W4381330884 cites W2612769033 @default.
- W4381330884 cites W2617693680 @default.
- W4381330884 cites W2618054437 @default.
- W4381330884 cites W2727108324 @default.
- W4381330884 cites W2728494775 @default.
- W4381330884 cites W2733794198 @default.
- W4381330884 cites W2734380473 @default.
- W4381330884 cites W2734654703 @default.
- W4381330884 cites W2735103703 @default.
- W4381330884 cites W2735801230 @default.
- W4381330884 cites W2735929801 @default.
- W4381330884 cites W2735971863 @default.
- W4381330884 cites W2736040269 @default.
- W4381330884 cites W2739925508 @default.
- W4381330884 cites W2740119027 @default.