AIML technology for intelligent personal assistants | |
| Author | Dontamsetti, Ranjith Venkata |
| Call Number | AIT RSPR no.CS-17-07 |
| Subject(s) | Artificial intelligence Natural language processing (Computer science) Pattern recognition systems Application software--Development |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. CS-17-07 |
| Abstract | Chat-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’s own Intelligent personal Assistant. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. CS-17-07 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Phan Minh Dung; |
| Examination Committee(s) | Bohez, Erik L.J.;Guha, Sumanta; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017 |