Abstract
Intelligent systems are the need of today’s world. Collections of data and various data sets are made available to naive users. Understanding what is contained within the dataset is quite difficult by referring just the name. Some of the datasets have quite a difficult, weird names so users do not have any clue what is inside, so there is a need of the theme of the document or dataset so as to understand what are the contents. User satisfaction and convenience is of prime importance. In this paper, we try to propose a system along with a working prototype of such intelligent system that essentially is a Chatbot which uses facility of Theme Detection in semantic analysis stage while processing the user input. This makes the system more productive. This paper talks about Chatbot and improvement in intelligent responses using theme detection. We have built a prototype of the system.
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Karamchandani, A., Agey, T., Chavan, A., Khatavkar, V., Kulkarni, P. (2019). Artificially Talented Architecture for Theme Detection. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_50
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DOI: https://doi.org/10.1007/978-981-13-1513-8_50
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