Perfecting a Video Game with Game Metrics
Vol 18, No 3: June 2020

Design of optimal search engine using text summarization through artificial intelligence techniques

Kaushik Sekaran (Vignan Institute of Technology and Science)
P. Chandana (Vignan Institute of Technology and Science)
J. Rethna Virgil Jeny (Vignan Institute of Technology and Science)
Maytham N. Meqdad (Al-Mustaqbal University College)
Seifedine Kadry (Beirut Arab Univeristy)



Article Info

Publish Date
01 Jun 2020

Abstract

Natural language processing is the trending topic in the latest research areas, which allows the developers to create the human-computer interactions to come into existence. The natural language processing is an integration of artificial intelligence, computer science and computer linguistics. The research towards natural Language Processing is focused on creating innovations towards creating the devices or machines which operates basing on the single command of a human. It allows various Bot creations to innovate the instructions from the mobile devices to control the physical devices by allowing the speech-tagging. In our paper, we design a search engine which not only displays the data according to user query but also performs the detailed display of the content or topic user is interested for using the summarization concept. We find the designed search engine is having optimal response time for the user queries by analyzing with number of transactions as inputs. Also, the result findings in the performance analysis show that the text summarization method has been an efficient way for improving the response time in the search engine optimizations.

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Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...