Improved question answering system using optimized information retrieval techniques
| dc.contributor.guide | Sundarakantham,K | |
| dc.coverage.spatial | Improved question answering system using optimized information retrieval techniques | |
| dc.creator.researcher | Felicia Lilian,J | |
| dc.date.accessioned | 2023-10-20T09:02:35Z | |
| dc.date.available | 2023-10-20T09:02:35Z | |
| dc.date.awarded | 2023 | |
| dc.date.completed | 2023 | |
| dc.date.registered | ||
| dc.description.abstract | iii newlineABSTRACT newlineThe twenty-first-century world foresees the future as a technological newlineenvironment in which everything around us is designed to work with intelligence newlineby reducing the need for human labour. Intelligence is integrated into machines newlinenot just through engineering solutions, but also through Natural Language newlineProcessing (NLP). NLP is an effective collaboration of linguistics, computer newlinescience and artificial intelligence. Everyone could see machines interacting with newlinehumans in a variety of applications, such as ATM machines with voice, newlineComputer Games between Human and Machine, Amazon Alexa/Echo, chatbots newlinein e-commerce websites, VoIP (Voice over Internet Protocol), and so forth. newlineIt resembles the action of questioning and answering. To generate the correct newlineanswer, NLP focuses on language-based interactions between humans and newlinecomputers. Language processing necessitates a massive collection of texts to newlinewhich the machine is exposed in all possible aspects of expressions. newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | 21cm | |
| dc.format.extent | xvi,123p. | |
| dc.identifier.uri | http://hdl.handle.net/10603/519217 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Information and Communication Engineering | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | Anna University | |
| dc.relation | p110-122. | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Anti-Negation Method | |
| dc.subject.keyword | Information And Communication Engineering | |
| dc.subject.keyword | Natural Language Processing | |
| dc.title | Improved question answering system using optimized information retrieval techniques | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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