IT826

Course Name: 

Topics In Natural Language Processing (IT826)

Programme: 

M.Tech (IT)

Category: 

Elective Courses (Ele)

Credits (L-T-P): 

(3-0-2) 4

Content: 

Introduction to Language Modelling, History and Applications, Text Processing Systems and architectures, N-grams, Lexical semantics and word-sense disambiguation, part of speech tagging, spelling correction, Text Classification – basics and process, tools, Naïve Bayes classifier, learning algorithms, Probabilistic Similarity Measures and Clustering, Sentiment Analysis, Generating and developing sentiment lexicons, learning lexicons, Information Retrieval, TF/IDF, Vector Space Models, Query analysis and processing, Information Extraction - Maximum Entropy models, Relation Extraction, Stochastic Tagging, and Log-Linear Models, Introduction to Semantics in NLP, Question Answering Models, passphrase analysis and answer generation, summarization, Emerging trends,research issues, challenges, interesting applications in various domains.

References: 

Christopher D. Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing, MIT Press, 1999
Daniel Jurafsky and James H. Martin. Speech and Language Processing: An Introduction to Natural Language
Processing, Computational Linguistics and Speech Recognition, Second Edition. Prentice Hall, 2008
Steven Bird. Natural Language Processing with Python, O'Reilly, 2009
James Allen, Natural Language Understanding. Benjamin/Cummings, 2ed, 1995

Department: 

Information Technology
 

Contact us

G. Ram Mohana Reddy

Professor and Head,
Department of Information Technology, NITK, Surathkal,
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Ph.:    +91-824-2474056
Email:  infotech[AT]nitk[DOT]ac[DOT]in
            infotech[AT]nitk[DOT]edu[DOT]in

Sowmya Kamath S (Web Admin)

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