Recent trends in sentiment analysis tools

Sentiment analysis is a technique for extracting feelings, emotions, and points of view from texts that have been made publicly available through various data sources, such as social media. In the mid-2000s, the term “sentiment analysis” became widespread, and it peaked in 2019. The SCOPUS database...

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Bibliographic Details
Main Authors: Ahmad, Ishteyaaq, Khan, Iram Ahmad, Verma, Archita, Sharma, Sonal
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Sentiment analysis
Online Access:Get full text
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Summary:Sentiment analysis is a technique for extracting feelings, emotions, and points of view from texts that have been made publicly available through various data sources, such as social media. In the mid-2000s, the term “sentiment analysis” became widespread, and it peaked in 2019. The SCOPUS database shows a positive research trend in sentiment analysis research during the last 10 years (2012–2021). While conference papers accounted for 49.6 percent of this research, journal articles accounted for 38.8 percent of overall production. The United States is the country with the most paper publications in this research area. The majority of the technologies investigated in this study can identify positive, negative, and neutral polarity. Twenty prominent and widely accessible tools for sentiment analysis available on the Internet were examined, only a few of them are completely free, while some of them do provide a limited-featured free version.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0152220