A survey on sentiment analysis methods, applications, and challenges

Mayur Wankhade; Annavarapu Chandra Sekhara Rao; Chaitanya Kulkarni

doi:10.1007/s10462-022-10144-1

Keywords

Computer scienceSentiment analysisData scienceArtificial intelligence

Affiliated Institutions

Related Publications

Survey of review spam detection using machine learning techniques

Mike Crawford , Taghi M. Khoshgoftaar , Joseph D. Prusa +2 more

Online reviews are often the primary factor in a customer’s decision to purchase a product or service, and are a valuable source of information that can be used to determine pub...

2015 Journal Of Big Data 467 citations

CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

Saif M. Mohammad , Peter D. Turney

Even though considerable attention has been given to the polarity of words (positive and negative) and the creation of large polarity lexicons, research in emotion analysis has ...

2012 Computational Intelligence 2425 citations

Opinion Mining and Sentiment Analysis

Bo Pang , Lillian Lee

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resourc...

2008 now publishers, Inc. eBooks 6711 citations

Twitter Sentiment Analysis: The Good the Bad and the OMG!

Efthymios Kouloumpis , Theresa Wilson , Johanna D. Moore

In this paper, we investigate the utility of linguistic features for detecting the sentiment of Twitter messages. We evaluate the usefulness of existing lexical resources as wel...

2021 Proceedings of the International AAAI... 1233 citations

Opinion spam and analysis

Nitin Jindal , Bing Liu

Evaluative texts on the Web have become a valuable source of opinions on products, services, events, individuals, etc. Recently, many researchers have studied such opinion sourc...

2008 1481 citations

Publication Info

Year: 2022
Type: article
Volume: 55
Issue: 7
Pages: 5731-5780
Citations: 1175
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

A survey on sentiment analysis methods, applications, and challenges

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1175

OpenAlex

Cite This

APA Style

                            
                                    Mayur Wankhade, 
                                
                                    Annavarapu Chandra Sekhara Rao, 
                                
                                    Chaitanya Kulkarni
                                
                            (2022). 
                            A survey on sentiment analysis methods, applications, and challenges. 
                            Artificial Intelligence Review
                            , 55
                            (7)
                            , 5731-5780.
                            https://doi.org/10.1007/s10462-022-10144-1

Identifiers

DOI: 10.1007/s10462-022-10144-1