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Minimizing domain bias when adapting sentiment analysis techniques to the legal domain

By: Ratnayaka, GathikaContributor(s): Dr. Amal Shehan Perera [supervisor] | Dr. Nisansa de Silva [supervisor]Language: English Publisher: [2022]Description: vii, 51p. : some col. diagrams, tables, PDF fileSubject(s): SENTIMENT ANALYSIS | SEMANTIC ANALYSIS | WORD REPRESENTATION | DEEP LEARNING | INFORMATION TECHNOLOGY -Dissertation | COMPUTER SCIENCE -Dissertation | COMPUTER SCIENCE & ENGINEERING -Dissertation | MSc (Major Component Research)Online resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2022
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
E-Thesis Collection
004(043) (Browse shelf) On-line LB/TH/06/2023 Not For Loan TH5037

M.Sc. in Computer Science and Engineering By Research

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Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2022

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