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Sentiment analysis of electronic product tweets using big data framework
Joint Authors
Koolwal, Vartika
Mohbey, Krishna Kumar
Kumar, Sunil
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 5, Issue 1 (30 Apr. 2019), pp.43-59, 17 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2019-04-30
Country of Publication
Jordan
No. of Pages
17
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Nowadays, social media has become more popular due to the advancement of Internet technologies and smartphone devices.
Such platforms have generated interest among users to give their opinion.
Social media-like Twitter- also plays an important role for business companies.
Based on customer opinion about any product, business companies came to know more about customer choices.
In the current scenario, millions of tweets are generated by people every year.
But handling these huge unstructured tweets is not possible through the traditional platform.
Therefore, big data framework, such as Hadoop and Spark, is used to handle such kind of large data.
In this paper, different sale tweets are used to analyze the sentiments of customers regarding electronic products.
The experimental results of the proposed work will be useful for various business companies to take business decisions, which will further enhance the product sales.
American Psychological Association (APA)
Kumar, Sunil& Koolwal, Vartika& Mohbey, Krishna Kumar. 2019. Sentiment analysis of electronic product tweets using big data framework. Jordanian Journal of Computetrs and Information Technology،Vol. 5, no. 1, pp.43-59.
https://search.emarefa.net/detail/BIM-1416450
Modern Language Association (MLA)
Kumar, Sunil…[et al.]. Sentiment analysis of electronic product tweets using big data framework. Jordanian Journal of Computetrs and Information Technology Vol. 5, no. 1 (Apr. 2019), pp.43-59.
https://search.emarefa.net/detail/BIM-1416450
American Medical Association (AMA)
Kumar, Sunil& Koolwal, Vartika& Mohbey, Krishna Kumar. Sentiment analysis of electronic product tweets using big data framework. Jordanian Journal of Computetrs and Information Technology. 2019. Vol. 5, no. 1, pp.43-59.
https://search.emarefa.net/detail/BIM-1416450
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 57-59
Record ID
BIM-1416450