A Comparative Study of Stanford NLP and Apache Open NLP in the view of POS Tagging
Jay Nanavati1, Yogesh Ghodasara2
1Jay Nanavati, Research Scholar, School of Science, RK University, Rajkot, (Gujarat) India.
2Dr. Yogesh Ghodasara, Associate Professor, College of Agricultural I.T., Anand Agriculture University, Anand, (Gujarat) India.
Manuscript received on October 19, 2015. | Revised Manuscript received on October 29, 2015. | Manuscript published on November 05, 2015. | PP: 57-60 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2744115515/2015©BEIESP
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©The Authors. Published By: 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: To perform a comparative study of two popular Natural Language Processing tools – Stanford NLPand Apache Open NLP, is the main objective of this paper. This paper also provides an insight into use of these two tools for analysis of requirements specification expressed in Natural Language English.
Keywords: NLP, Requirements Specifications, Part Of Speech (POS) tagging, Tokens, Tag set.