Implementation Of An AI Driven Sentiment Analyzer
Abstract & Details
Research Area
Computer Science Engineering
Keywords
sentiment-analysis
classification
machine learning
SVM.
Abstract
Customers are valued by a business not just for their financial impact, but also for how satisfied they are with the service they receive and it is subjective. Positive word-of-mouth is disseminated by satisfied consumers, and negative word-of-mouth by disappointed ones. Due to subjectivity, it is vital to examine a variety of perspectives rather than just one that conveys one person’s subjective viewpoint. In addition to the abundance of sources, the volume of data makes it impossible to manually sort through them to find the underlying trends, issues, or reasons of (dis)satisfaction. Sentiment analysis is a potent tool that enables users to both extract the necessary data and aggregate the overall sentiments of the reviews. For completing this goal, a number of strategies have gained attention in recent years. This paper examines the various Sentiment Analysis strategies of machine learning such as K-NN classifier, Naive Bayes classifier, Support Vector Machine (SVM), and Neural Networks.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr. Pooja Nayak S | Dayananda Sagar Academy of Technology and Management |
| 2 | Ananya M Hegde | Dayananda Sagar Academy of Technology and Management |
| 3 | Akanksha Giliyal | Dayananda Sagar Academy of Technology and Management |
| 4 | Geethika S | Dayananda Sagar Academy of Technology and Management |
| 5 | Kavya P | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Dr. Pooja Nayak, Hegde, Ananya M, Giliyal, Akanksha, S, Geethika, & P, Kavya (2023). Implementation Of An AI Driven Sentiment Analyzer. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1153-1158.
MLA Style
S, Dr. Pooja Nayak, et al. "Implementation Of An AI Driven Sentiment Analyzer." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1153-1158.
IEEE Style
Dr. Pooja Nayak S, Ananya M Hegde, Akanksha Giliyal, Geethika S, and Kavya P, "Implementation Of An AI Driven Sentiment Analyzer," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1153-1158, 2023.
Vancouver Style
S Dr. Pooja Nayak, Hegde Ananya M, Giliyal Akanksha, S Geethika, P Kavya. Implementation Of An AI Driven Sentiment Analyzer. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1153-1158.
Harvard Style
S, Dr. Pooja Nayak, Hegde, Ananya M, Giliyal, Akanksha, S, Geethika, & P, Kavya (2023) 'Implementation Of An AI Driven Sentiment Analyzer', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1153-1158.
Chicago Style
S, Dr. Pooja Nayak, et al. "Implementation Of An AI Driven Sentiment Analyzer." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1153-1158.
Turabian Style
S, Dr. Pooja Nayak, et al. "Implementation Of An AI Driven Sentiment Analyzer." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1153-1158.
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