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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).doi:10.5121/ijcsa.2013.3101 fatcat:3j3i3rmpnza2rpawvhtgg4xnru