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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Embedded system based bangla intelligent social virtual robot with sentiment analysis

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    14301032,14301133,14302236,14301064_CSE.pdf (1.735Mb)
    Date
    2018-04
    Publisher
    BRAC University
    Author
    Hossain, Md. Ishan Arefin
    Hossain, Ismail
    Hossain, Md. Yousuf
    Banik, Mridul
    Metadata
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    URI
    http://hdl.handle.net/10361/10174
    Abstract
    Bangla is the mother tongue of millions of people all over the world. Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main reason of this is lack of rich text corpus and previous research on Bangla language. The proposed Bangla Intelligent Social Virtual Robot can communicate in Bangla intelligently and can express its reflective emotion virtually with the help of machine learning algorithms and sentiment analysis. In this paper we discuss the approached system, design methodology and implementation details of first ever Bangla virtual embedded robot followed by the methodology of building a rich Bangla text corpus. The proposed embedded virtual robot turns out better performer when compared with only known Bangla intelligent chatbot named ‘Golpo’ and the embedded system performance efficiency has been upgraded with the help CPU over-clocking technique
    Keywords
    Virtual robot; Machine learning; Bangla robot; Embedded system; Sentiment analysis
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 37-39).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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