Abstract
Named Entity Recognition (NER) is one of the tasks of processing documents to detect and categorize proper nouns, which is known to be a useful component in various Natural Language Processing (NLP) applications, that enable the extraction of important information from texts very easily. In the following paper we have discussed about NER, various approaches of NER and the results obtained by performing NER in English using Hidden Markov Model(HMM).
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal on Computational Science & Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
