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Named Entity Recognition for Malayalam

Authors: Silja C K; Dr.T K Bijimol;

Named Entity Recognition for Malayalam

Abstract

Abstract—The process of identifying entities in a written document and categorizing them into predetermined categories such as Person, Location, Organization, and so on is known as named entity recognition. It is a vital phase in the natural language text processing process. The named entity recognition system is designed to extract useful data from the text. In Malayalam, various approaches are used for NER. In this research, we propose a Naive Bayes classifier-based NER system for Malayalam. NER structures characteristic properly in high-aid languages like English, however for low-aid languages like Malayalam, that is an Indian language spoken within side the nation of Kerala, there are few nicely-advanced NER structures.

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Keywords

Named Entity Recognition, Information Extraction

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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