Development of a demo system for EDU based sentiment analysis
The field of Natural Language Processing is deep and filled with various ways to understand Natural Language programmatically. One such step taken is through Aspect Category Sentiment Analysis by using Elementary Discourse Units, where each unit contains its own sentiment polarity and associated asp...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1720272023-11-24T15:37:41Z Development of a demo system for EDU based sentiment analysis Ang, Ray Sean Sun Aixin School of Computer Science and Engineering AXSun@ntu.edu.sg Engineering::Computer science and engineering The field of Natural Language Processing is deep and filled with various ways to understand Natural Language programmatically. One such step taken is through Aspect Category Sentiment Analysis by using Elementary Discourse Units, where each unit contains its own sentiment polarity and associated aspect. This project expands upon a model that uses Aspect Category Sentiment Analysis with Elementary Discourse Units by providing users of the web application with an interface that further enhances the usage of the model. The web application is expected to run the model in real-time, to give the user an understanding of how the model works. Bachelor of Engineering (Computer Science) 2023-11-21T05:58:58Z 2023-11-21T05:58:58Z 2023 Final Year Project (FYP) Ang, R. S. (2023). Development of a demo system for EDU based sentiment analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172027 https://hdl.handle.net/10356/172027 en application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Ang, Ray Sean Development of a demo system for EDU based sentiment analysis |
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The field of Natural Language Processing is deep and filled with various ways to understand Natural Language programmatically. One such step taken is through Aspect Category Sentiment Analysis by using Elementary Discourse Units, where each unit contains its own sentiment polarity and associated aspect. This project expands upon a model that uses Aspect Category Sentiment Analysis with Elementary Discourse Units by providing users of the web application with an interface that further enhances the usage of the model. The web application is expected to run the model in real-time, to give the user an understanding of how the model works. |
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Sun Aixin |
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Sun Aixin Ang, Ray Sean |
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Final Year Project |
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Ang, Ray Sean |
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Ang, Ray Sean |
title |
Development of a demo system for EDU based sentiment analysis |
title_short |
Development of a demo system for EDU based sentiment analysis |
title_full |
Development of a demo system for EDU based sentiment analysis |
title_fullStr |
Development of a demo system for EDU based sentiment analysis |
title_full_unstemmed |
Development of a demo system for EDU based sentiment analysis |
title_sort |
development of a demo system for edu based sentiment analysis |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/172027 |
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