A Survey of techniques for sentiment analysis using machine and deep learning approaches
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Shams Naveed Zia
Committee Member 1
Shams Naveed Zia, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi.
MSCS Survey Report
Machine learning, Deep learning.
Abstract / Summary
With the emergence and traction or the social media platforms worldwide Nowicks to the maximum possible information about any global news. For this purpose, these platforms are the first go-to news and. Any viral topic catches attention throughout the world and starts trending within minutes. This impact of social media globally has changed the overall thinking, attention to the news and details of the people. Recently there have been various news and happenings about ticst gained a lot of attention throughout the world. People tend to post, tweet, review, and blog about these events on the various social media platforms that are available. There are sentiments and feelings behind all of this data that is data that is generated and written on these platforms. People from around the world express their happiness, anger, sadness, and all other emotions through these sites while others are interested in knowing these opinions to now the overall s
Ali, Z. (2019). A Survey of techniques for sentiment analysis using machine and deep learning approaches (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/20
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