<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Sentiment classification is the process of exploring sentiments, emotions, ideas and thoughts in the sentences which are expressed by the people. Sentiment classification allows us to judge the sentiments and feelings of the peoples by analyzing their reviews, social media comments etc. about all the aspects. Machine learning techniques and Lexicon based techniques are being mostly used in sentiment classification to predict sentiments from customers reviews and comments. Machine learning techniques includes several learning algorithms to judge the sentiments i.e Navie bayes, support vector machines etc whereas Lexicon Based techniques includes SentiWordnet, Wordnet etc. The main target of this survey is to give nearly full image of sentiment classification techniques. Survey paper provides the comprehensive overview of recent and past research on sentiment classification and provides excellent research queries and approaches for future aspects</p></abstract>

Sentiment classification is the process of exploring sentiments, emotions, ideas and thoughts in the sentences which are expressed by the people. Sentiment classification allows us to judge the sentiments and feelings of the peoples by analyzing their reviews, social media comments etc. about all the aspects. Machine learning techniques and Lexicon based techniques are being mostly used in sentiment classification to predict sentiments from customers reviews and comments. Machine learning techniques includes several learning algorithms to judge the sentiments i.e Navie bayes, support vector machines etc whereas Lexicon Based techniques includes SentiWordnet, Wordnet etc. The main target of this survey is to give nearly full image of sentiment classification techniques. Survey paper provides the comprehensive overview of recent and past research on sentiment classification and provides excellent research queries and approaches for future aspects

A survey on sentiment classification algorithms, challenges and applications

University Institute of Information Technology

Pir Mehr Ali Shah Arid Agriculture University

Pir Mehr Ali Shah Arid Agriculture University Rawalpindi

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"A survey on sentiment classification algorithms, challenges and applications"}

Sentiment classification is the process of exploring sentiments, emotions, ideas and thoughts in the sentences which are expressed by the people. Sentiment...

A survey on sentiment classification algorithms, challenges and applications

Data publikacji: 29 sie 2018

Zakres stron: 58 - 72

Otrzymano: 30 maj 2018

DOI: https://doi.org/10.2478/ausi-2018-0004

Słowa kluczowe
sentiment classification, supervised learning, opinion mining, machine learning, lexicon approaches, unsupervised learning

© 2018 Muhammad Rizwan Rashid Rana et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A survey on sentiment classification algorithms, challenges and applications

Data publikacji: 29 sie 2018

Zakres stron: 58 - 72

Otrzymano: 30 maj 2018

DOI: https://doi.org/10.2478/ausi-2018-0004

Słowa kluczowesentiment classification, supervised learning, opinion mining, machine learning, lexicon approaches, unsupervised learning

© 2018 Muhammad Rizwan Rashid Rana et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
sentiment classification, supervised learning, opinion mining, machine learning, lexicon approaches, unsupervised learning