X
X
X

X
Swayam Central

Natural Language Processing

By Prof. Pawan Goyal   |   IIT Kharagpur
This course starts with the basics of text processing including basic pre-processing, spelling correction, language modeling, Part-of-Speech tagging, Constituency and Dependency Parsing, Lexical Semantics, distributional Semantics and topic models. Finally, the course also covers some of the most interesting applications of text mining such as entity linking, relation extraction, text summarization, text classification, sentiment analysis and opinion mining. 

Pre-requisites Basic knowledge of probabilities for the lectures and python for programming assignment 
Industries Applicable Microsoft Research, Google, Adobe, Xerox, Flipkart, Amazon


Learners enrolled: 4162

SUMMARY

Course Status : Ongoing
Course Type : Elective
Duration : 12 weeks
Start Date : 29 Jul 2019
End Date : 18 Oct 2019
Exam Date : 16 Nov 2019
Category :
  • Computer Science and Engineering
  • Level : Undergraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1:  Introduction and Basic Text Processing
    Week 2:  Spelling Correction, Language Modeling
    Week 3:  Advanced smoothing for language modeling, POS tagging 
    Week 4:  Models for Sequential tagging – MaxEnt, CRF 
    Week 5:  Syntax – Constituency Parsing 
    Week 6:  Dependency Parsing 
    Week 7:  Distributional Semantics
    Week 8:  Lexical Semantics
    Week 9:  Topic Models 
    Week 10: Entity Linking, Information Extraction 
    Week 11: Text Summarization, Text Classification 
    Week 12: Sentiment Analysis and Opinion Mining 

    BOOKS AND REFERENCES

    1. Dan Jurafsky and James Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition. Prentice Hall, Second Edition, 2009. 
    Some draft chapters of the third edition are available online: https://web.stanford.edu/~jurafsky/slp3/

    2. Chris Manning and Hinrich Schütze. Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA: May 1999.

    INSTRUCTOR BIO



    Pawan Goyal is an Assistant Professor at the Department of Computer Science and Engineering, IIT Kharagpur. His research interests include Natural Language Processing, Text Mining, Information Retrieval and Sanskrit Computational Linguistics. He has published around 75 research papers in international conferences and journals. He has published in various top-tier conferences and journals including ACL, NAACL, EMNLP, SIGIR, KDD, CIKM, JCDL, ICWSM, CSCW, Coling, IEEE and ACM transactions. Prior to joining IIT Kharagpur, he received his B. Tech. degree in Electrical Engineering from IIT Kanpur in 2007 and his Ph.D. degree in the faculty of Computing and Engineering from University of Ulster, UK in 2011. He was then a Post Doctoral Fellow at INRIA Paris Rocquencourt. 

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 16 November 2019, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE
    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched

    DOWNLOAD APP

    FOLLOW US