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Review Papers | Engineering Applications of Artificial Intelligence | India | Volume 8 Issue 4, April 2019
Analysis of Users Behavioral Pattern Using Sentiment Analysis: A Survey
Farah Jamal | Kavita Agrawal [2]
Abstract: People express themselves by giving suggestions, opinions, feedback or ideas about the product. People use social media platforms such as twitter, facebook, blogs etc to express their views. Sentiment analysis becomes more pivotal due to availability of large amount of information on social media. Sentiments from social media such as facebook or twitter provide most up-to-minute and comprehensive information. The study of users behavior helps firms and organization to improve their marketing strategy. Users opinion that are present on social networking sites will help business analyst/specialist to provide better option to the users and thus motivating the users to buy the products. The aim is to determine the expressed reviews of customer using supervised learning and deep learning algorithm. This will help in understanding the various issues of customer like how he feels, think and select between different alternatives.
Keywords: Sentiment Analysis, Hybrid, Deep Learning, Nave Bayes, Decision Tree
Edition: Volume 8 Issue 4, April 2019,
Pages: 843 - 847
Similar Articles with Keyword 'Deep Learning'
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Research Paper, Engineering Applications of Artificial Intelligence, India, Volume 10 Issue 9, September 2021
Pages: 1641 - 1648AI for Healthy Diet
Ashok Veda [2] | Shikha Kathuria [2]
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Research Paper, Engineering Applications of Artificial Intelligence, Nigeria, Volume 11 Issue 6, June 2022
Pages: 1234 - 1238Sequential Face and Voice Biometric System for Access Control into a Security Safe
Bisiriyu [2] | Akeem Olawale | Olawale | Babatunde Olumide