Embedded system based bangla intelligent social virtual robot with sentiment analysis

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Dades bibliogràfiques
Autors principals: Hossain, Md. Ishan Arefin, Hossain, Ismail, Hossain, Md. Yousuf, Banik, Mridul
Altres autors: Chakrabarty, Amitabha
Format: Thesis
Idioma:English
Publicat: BRAC University 2018
Matèries:
Accés en línia:http://hdl.handle.net/10361/10174
id 10361-10174
record_format dspace
spelling 10361-101742022-01-26T10:15:55Z Embedded system based bangla intelligent social virtual robot with sentiment analysis Hossain, Md. Ishan Arefin Hossain, Ismail Hossain, Md. Yousuf Banik, Mridul Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University Virtual robot Machine learning Bangla robot Embedded system Sentiment analysis 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). 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 Md. Ishan Arefin Hossain Ismail Hossain Md. Yousuf Hossain Mridul Banik B. Computer Science and Engineering 2018-05-21T04:41:34Z 2018-05-21T04:41:34Z 2018 2018-04 Thesis ID 14301032 ID 14301133 ID 14301136 ID 14301064 http://hdl.handle.net/10361/10174 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 39 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Virtual robot
Machine learning
Bangla robot
Embedded system
Sentiment analysis
spellingShingle Virtual robot
Machine learning
Bangla robot
Embedded system
Sentiment analysis
Hossain, Md. Ishan Arefin
Hossain, Ismail
Hossain, Md. Yousuf
Banik, Mridul
Embedded system based bangla intelligent social virtual robot with 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.
author2 Chakrabarty, Amitabha
author_facet Chakrabarty, Amitabha
Hossain, Md. Ishan Arefin
Hossain, Ismail
Hossain, Md. Yousuf
Banik, Mridul
format Thesis
author Hossain, Md. Ishan Arefin
Hossain, Ismail
Hossain, Md. Yousuf
Banik, Mridul
author_sort Hossain, Md. Ishan Arefin
title Embedded system based bangla intelligent social virtual robot with sentiment analysis
title_short Embedded system based bangla intelligent social virtual robot with sentiment analysis
title_full Embedded system based bangla intelligent social virtual robot with sentiment analysis
title_fullStr Embedded system based bangla intelligent social virtual robot with sentiment analysis
title_full_unstemmed Embedded system based bangla intelligent social virtual robot with sentiment analysis
title_sort embedded system based bangla intelligent social virtual robot with sentiment analysis
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/10174
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