Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/422878
Title: Stream data analysis using advanced machine learning approaches
Researcher: Arunmanickaraja M
Guide(s): Swamynathan S
Keywords: Advanced machine learning
Stream data analysis
Information and communication engineering
University: Anna University
Completed Date: 2022
Abstract: Stream data analysis involves the process of identifying the potential patterns from the data streams from various sources. Many of the data stream sources are social media applications. Social networks evolved as a mandate for sharing information instantly. Social networking applications are prominent among the internet user communities. Many social media websites are used for sharing the information instantly. newlineTwitter is one of the vibrant social networking websites for sharing small textual information within a short span of time. It is essential to identify the type of information shared on these websites. The twitter stream data analysis mainly involves the sentiment analysis process using various trained machine learning classifiers applied on a large collection of tweets. newline
Pagination: xx,167p
URI: http://hdl.handle.net/10603/422878
Appears in Departments:Faculty of Information and Communication Engineering

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06_chapter 2.pdf175.01 kBAdobe PDFView/Open
07_chapter 3.pdf118.88 kBAdobe PDFView/Open
08_chapter 4.pdf329.15 kBAdobe PDFView/Open
09_chapter 5.pdf1.21 MBAdobe PDFView/Open
10_chapter 6.pdf817.03 kBAdobe PDFView/Open
11_chapter 7.pdf479.85 kBAdobe PDFView/Open
12_chapter 8.pdf415.1 kBAdobe PDFView/Open
13_annexures.pdf125.93 kBAdobe PDFView/Open
80_recommendation.pdf76.44 kBAdobe PDFView/Open
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