A survey on sentiment analysis methods, applications, and challenges

The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis is the process of gathering and analyzing people’s opinions, thoughts, and impressions regarding various topics, produc...

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Published inThe Artificial intelligence review Vol. 55; no. 7; pp. 5731 - 5780
Main Authors Wankhade, Mayur, Rao, Annavarapu Chandra Sekhara, Kulkarni, Chaitanya
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.10.2022
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Computational linguistics
Computer Science
Data mining
Decision analysis
Decision-making
Evaluation
Language processing
Natural language interfaces
Natural language processing
Sentiment analysis
Social media
Social networks
Sentiment analysis
Text analysis
Word embedding
Social media
Machine learning
Online AccessGet full text

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Abstract The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis is the process of gathering and analyzing people’s opinions, thoughts, and impressions regarding various topics, products, subjects, and services. People’s opinions can be beneficial to corporations, governments, and individuals for collecting information and making decisions based on opinion. However, the sentiment analysis and evaluation procedure face numerous challenges. These challenges create impediments to accurately interpreting sentiments and determining the appropriate sentiment polarity. Sentiment analysis identifies and extracts subjective information from the text using natural language processing and text mining. This article discusses a complete overview of the method for completing this task as well as the applications of sentiment analysis. Then, it evaluates, compares, and investigates the approaches used to gain a comprehensive understanding of their advantages and disadvantages. Finally, the challenges of sentiment analysis are examined in order to define future directions.
AbstractList The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis is the process of gathering and analyzing people’s opinions, thoughts, and impressions regarding various topics, products, subjects, and services. People’s opinions can be beneficial to corporations, governments, and individuals for collecting information and making decisions based on opinion. However, the sentiment analysis and evaluation procedure face numerous challenges. These challenges create impediments to accurately interpreting sentiments and determining the appropriate sentiment polarity. Sentiment analysis identifies and extracts subjective information from the text using natural language processing and text mining. This article discusses a complete overview of the method for completing this task as well as the applications of sentiment analysis. Then, it evaluates, compares, and investigates the approaches used to gain a comprehensive understanding of their advantages and disadvantages. Finally, the challenges of sentiment analysis are examined in order to define future directions.
Audience Academic
Author Kulkarni, Chaitanya
Rao, Annavarapu Chandra Sekhara
Wankhade, Mayur
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  givenname: Chaitanya
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  organization: Department of Computer Science and Engineering, Indian Institute of Technology (ISM), Dayananda Sagar College of Engineering
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Snippet The rapid growth of Internet-based applications, such as social media platforms and blogs, has resulted in comments and reviews concerning day-to-day...
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SubjectTerms Artificial Intelligence
Computational linguistics
Computer Science
Data mining
Decision analysis
Decision-making
Evaluation
Language processing
Natural language interfaces
Natural language processing
Sentiment analysis
Social media
Social networks
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Title A survey on sentiment analysis methods, applications, and challenges
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