Course abstract
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 interesting applications of text mining such as entity linking, relation extraction, text summarization, text classification, sentiment analysis and opinion mining.
Course Instructor
Prof. Pawan Goyal
Pawan Goyal joined the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur as an Assistant Professor on July 30th, 2013. Prior to that, he was working at INRIA Paris-Rocquencourt as a post doctoral fellow with Prof. Gérard Huet on The Sanskrit Heritage Site. He did his B. Tech. in Electrical Engineering from Indian Institute of Technology, Kanpur. He received his Ph. D. from Intelligent Systems Research Centre, Faculty of Computing and Engineering, University of Ulster, UK. His main research interests include Text Mining, Natural Language Processing, Information Retrieval and Sanskrit Computational Linguistics. He has published over 40 research articles in various CS journals and conferences including ACL, Coling, TKDE, CACM, KDD, CIKM, JCDL.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jul-Oct 2021
View Course
Syllabus
Enrollment : 20-May-2021 to 02-Aug-2021
Exam registration : 17-Jun-2021 to 17-Sep-2021
Exam Date : 23-Oct-2021
Enrolled
5222
Registered
343
Certificate Eligible
167
Certified Category Count
Gold
4
Silver
33
Elite
53
Successfully completed
77
Participation
104
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 12 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Natural Language Processing - Toppers list
Top 1 % of Certified Candidates
Top 2 % of Certified Candidates
Top 5 % of Certified Candidates
Enrollment Statistics
Total Enrollment: 5222
Registration Statistics
Total Registration : 343
Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score