Real Time Linguistic Analysis using Natural Language Processing
Jagdish Chandra Patni1, Anupam Singh2, Hitesh Kumar Sharma3
1Dr. Jagdish Chandra Patni, Assistant Professor, Department of Computer Science , University of Petroleum and Energy Studies , Dehradun, Uttarakhand, India.
2Anupam Singh, is Assistant Professor in Department of Informatics, School of Computer Science , University of Petroleum , Dehradun, Uttarakhand, India.
3Dr. Hitesh Kumar Sharma, working as Assistant Professor at School of Computer Science , University of Petroleum and Energy Studies , Dehradun, Uttarakhand, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1459-1465 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5848018520/2020©BEIESP | DOI: 10.35940/ijrte.E5848.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There are plenty of analysis done on linguistic communication process to develop and improve systems that square measure a lot of human, which will perceive easy directions. There are many research organizations working on different projects of NLP. This paper can function as the premise of connecting likeminded folks primarily based upon their thoughts, their interests the ideas they share. In an exceedingly layman’s language this is able to work on a true time basis, currently primarily based upon the user response linguistic communication process Techniques are enforced and in real time thoughts are matched with someone of vertical having interests and thoughts just like ours so, it might operate like connecting us with a world of our own. This paper aims at providing associate surroundings wherever like individuals move with individuals of their kind in order that they speak solely purposeful and zilch out of context by developing a Natural Language Processing based Linguistic Analysis system.
Keywords: Natural Language Processing, Linguistic Analysis, Human Language Technology, Data Mining, Speech Recognition, Text Generation.
Scope of the Article: Natural Language Processing.