X
X
X

X
Swayam Central

Applied Natural Language Processing

By Prof. Ramaseshan R   |   Chennai Mathematical Institute
A Major Portion Of Communication Now Is Through Text And Any Organization Has More Than 90% Of Its Content In The Unstructured Form. Natural Language Processing (Nlp), An Important Part In Artificial Intelligence, Is One Of The Important Technologies That Would Help In Activities Such As Classification, Retrieving And Extraction Of Information, Identifying Important Documents, Etc. Students Will Gather Knowledge In The Fundamentals Of Nlp, Methods And Techniques And Gain Skills To Use Them In Practical Situations.

INTENDED AUDIENCE: Any Interested Learners PRE-REQUISITES: Essential – Algorithms, Python proficiency, elementary probability and statistics, Linear Algebra, basic understanding of machine learning

SUMMARY

Course Status : Upcoming
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 : Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    WEEK 1:   Introduction, terminologies, empirical rules
    WEEK 2:   Word to Vectors
    WEEK 3:   Probability and Language Model
    WEEK 4:   Neural Networks for NLP
    WEEK 5:   Distributed word vectors (word embeddings) 
    WEEK 6:   Understanding Phrases, analogies
    WEEK 7:   Spelling Correction using traditional and Neural networks
    WEEK 8:   Recurrent Neural Network, Language Model
    WEEK 9:   Machine Translation
    WEEK 10: Information Retrieval tasks using Neural Networks- Learn to Rank, NER
    WEEK 11: Chat-bots, dialog agents 
    WEEK 12Question Processing, end notes

    BOOKS AND REFERENCES

    1. Foundations of Statistical Natural Language Processing by Chris Manning and Hinrich Schuetze 2. Handbook of Natural Language Processing, Second Edition (Chapman & Hall/CRC: 3. Machine Learning & Pattern Recognition) 2nd Edition by Nitin Indurkhya (Editor),‎ Fred J. Damerau (Editor) 4. A Primer on Neural Network Models for Natural Language Processing by Yoav Goldberg 5. Python 3 Text Processing with NLTK 3 Cookbook, Jacob Perkins

    INSTRUCTOR BIO


    Prof. Ramaseshan R. He is currently working as a Visiting faculty at CMI and handling NLP. He has more than 30 years of experience in research and development, teaching, product development, information technology, innovation, and convergence.

    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 centers.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams:16th 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 Madras. 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