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We present a work on identification and classification of Named Entities in Tamil, a morphologically rich language. Here we have used a machine learning technique, Conditional Random Fields (CRFs) for this task. We discuss here about the linguistic features used in CRFs for this morphologically rich language.
Comment target extraction is the first task for sentiment analysis. Conditional random fields (CRF) method has achieved good performance on the Named Entity Recognition. In this paper, CRF model is used for comment target extraction in Chinese in combination with domain ontology of products with word and part of speech as features. Domain ontology of products is considered as a semantic feature, such...
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