Conversational AI for companionship
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| स्वरूप: | थीसिस |
| भाषा: | English |
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Brac University
2022
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| ऑनलाइन पहुंच: | http://hdl.handle.net/10361/17537 |
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10361-17537 |
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10361-175372022-10-26T21:01:42Z Conversational AI for companionship Khan, Zakaria Akash, Salauddin Md Jamima, Afia Mobassira Ishan, Isfar Hasan Alam, Md. Golam Rabiul Roy, Shaily Department of Computer Science and Engineering, Brac University Self disclosure Virtual assistant Sentiment NLP Mercantile Interlocutor Machine learning. Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 40-43). The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research recommends an intelligent system capable of holding an appropriate human-like dialogue, including the emotion and personality of a specific character. To draw the pattern of the attributes of specified emotion, a method can be used to transmit voice tone. In order to determine all the necessary characteristics mentioned above, the goal is to use different categories of machine learning models. Since the pattern of conversation, style varies from one individual to another and geographically, our goal is to create a virtual assistant. In addition, a conversational model will be applied to it. It will read the category of emotions(exclamation, assertion, negation, interrogation) of human beings and respond accordingly. Many methodologies are being utilized to predict sentiments through AI and react accordingly. IVA is one of them but with its limitations and boundaries. Therefore, this paper comes with several methodologies that can be used alongside IVA; such as HMM, GMM, SVM, NLU, BoAW, BERT, etc. These algorithms and methodologies will help to predict the sentiments used in a context and precisely predict the outcome of an inquiry. To sum it up, this thesis aims to create a conversational AI for companionship, which will create an emotional bridge between itself and the user. Zakaria Khan Salauddin Md Akash Afia Mobassira Jamima Isfar Hasan Ishan B. Computer Science and Engineering 2022-10-26T05:28:56Z 2022-10-26T05:28:56Z 2022 2022-05 Thesis ID 18101404 ID 18101494 ID 18101016 ID 18101042 http://hdl.handle.net/10361/17537 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. 43 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Self disclosure Virtual assistant Sentiment NLP Mercantile Interlocutor Machine learning. Artificial intelligence |
| spellingShingle |
Self disclosure Virtual assistant Sentiment NLP Mercantile Interlocutor Machine learning. Artificial intelligence Khan, Zakaria Akash, Salauddin Md Jamima, Afia Mobassira Ishan, Isfar Hasan Conversational AI for companionship |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Alam, Md. Golam Rabiul |
| author_facet |
Alam, Md. Golam Rabiul Khan, Zakaria Akash, Salauddin Md Jamima, Afia Mobassira Ishan, Isfar Hasan |
| format |
Thesis |
| author |
Khan, Zakaria Akash, Salauddin Md Jamima, Afia Mobassira Ishan, Isfar Hasan |
| author_sort |
Khan, Zakaria |
| title |
Conversational AI for companionship |
| title_short |
Conversational AI for companionship |
| title_full |
Conversational AI for companionship |
| title_fullStr |
Conversational AI for companionship |
| title_full_unstemmed |
Conversational AI for companionship |
| title_sort |
conversational ai for companionship |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17537 |
| work_keys_str_mv |
AT khanzakaria conversationalaiforcompanionship AT akashsalauddinmd conversationalaiforcompanionship AT jamimaafiamobassira conversationalaiforcompanionship AT ishanisfarhasan conversationalaiforcompanionship |
| _version_ |
1814309644769689600 |