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035 _a.b12345568
099 9 _aAIT RSPR no.CS-17-07
100 1 _aDontamsetti, Ranjith Venkata
245 1 0 _aAIML technology for intelligent personal assistants
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a1 online resource (55 p.) :
_bill.
490 1 _aResearch studies project report ;
_vno. CS-17-07
500 _aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
502 _aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017
520 _aChat-bot technology is gaining immense popularity in the field of computer science. Multiple approaches have been taken to build chat-bots that have conversations close enough to humans. Natural Language Processing , AIML technology and the use of databases are the approaches explained in this research. Various features of the technologies along with their algorithms are explained. After careful comparative analysis of the same , It is important to note that each of the approaches have their own upsides and downsides when it comes to chat-bot building. The research concludes by saying AIML makes it easy to build, but on the other hand, when databases integrate with other technologies, they have the power to build powerful chat-bots. On finding the decision of which technology to use, AIML technology was finalized and was used to build AIT{u2019}s own Intelligent personal Assistant.
650 0 _aArtificial intelligence
650 0 _aNatural language processing (Computer science)
650 0 _aPattern recognition systems
650 0 _aApplication software
_xDevelopment.
700 1 _aPhan, Minh Dung,
_eChairperson
700 1 _aBohez, Erik L.J.,
_eExamination Committee
700 1 _aGuha, Sumanta,
_eExamination Committee
710 2 _aAsian Institute of Technology Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. CS-17-07
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06990
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