A Review for Semantic Analysis and Text Document Annotation Using Natural Language Processing Techniques

6 Pages Posted: 12 Jul 2019 Last revised: 30 Sep 2019

Date Written: May 18, 2019

Abstract

In today’s fast-growing world with rapid change in technology, everyone wants to read out the main part of the document or website in no time, with a certainty of an event occurring or not. However annotating text manually by domain experts, for example cancer researchers or medical practitioner becomes a challenge as it requires qualified experts, also the process of annotating data manually is time consuming. A technique of syntactic analysis of text which process a logical form S-V-O triples for each sentence is used. In the past years, natural language processing and text mining becomes popular as it deals with text whose purpose is to communicate actual information and opinion. Using Natural Language Processing (NLP) techniques and Text Mining will increase the annotator productivity. There are lesser known experiments has been made in the field of uncertainty detection. With fast growing world there is lot of scope in the various fields where uncertainty play major role in deciding the probability of uncertain event. However, syntactic analysis alone will not give desired results. Hence, it is required to use different techniques for the extraction of important information on the basis of uncertainty of verbs and highlight the sentence.

Keywords: Annotation, NLP Techniques, Text Mining, Uncertainty of Verbs

JEL Classification: Y60

Suggested Citation

Pande, Nikita and Karyakarte, Mandar, A Review for Semantic Analysis and Text Document Annotation Using Natural Language Processing Techniques (May 18, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3418747 or http://dx.doi.org/10.2139/ssrn.3418747

Nikita Pande (Contact Author)

VIIT, Pune ( email )

India

Mandar Karyakarte

VIIT, Pune ( email )

India

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