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CSC-653
BS

Natural Language Processing

(DE) Domain Elective Theory: 3 Cr. Hrs Total: 3 Cr. Hrs
Introduction to natural language processing, applications of NLP, regular expressions, regular expressions in NLP, text normalization, language modeling with n-grams, Naïve bayes classification and sentiment, POS tagging and HMM, Viterbi algorithm, CFGs and PCFGs, semantic analysis, text classification and evaluation, topic modeling, opinion mining, information extraction, named entity recognition, information retrieval, word sense disambiguation, question answering, dialog systems, Coreference resolution, text summarization, text alignment, language translation, latent semantic indexing, dimensionality reduction.
In Programmes
MPhil MPhil (Computer Science)
Electives Pool — Elective (Current Scheme)
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