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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / Fourth Year BE AI and DS / Semester 7 / Natural Language Processing Lab

B.E. (Artificial Intelligence and Data Science) Natural Language Processing Lab Syllabus - Mumbai University

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

Natural Language Processing Lab.pdf
Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for Natural Language Processing Lab

Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

  • Study various applications of NLP and Formulate the Problem Statement for Mini Project based on chosen real world NLP applications: [Machine Translation, Text Categorization, Text summarization, Chat Bot, Plagiarism, Spelling & Grammar Checkers, Sentiment / Opinion analysis, Question answering, Personal Assistant, Tutoring Systems, etc.]

Module 2

  • Apply various text preprocessing techniques for any given text: Tokenization and Filtration & Script Validation

Module 3

  • Apply various other text preprocessing techniques for any given text: Stop Word Removal, Lemmatization / Stemming

Module 4

  • Perform morphological analysis and word generation for any given text

Module 5

  • Implement N-Gram model for the given text input

Module 6

  • Study the different POS taggers and Perform POS tagging on the given text

Module 7

  • Perform chunking by analyzing the importance of selecting proper features for training a model and size of training

Module 8

  • Implement Named Entity Recognizer for the given text input

Module 9

  • Implement Text Similarity Recognizer for the chosen text documents

Module 10

  • Implement word sense disambiguation using LSTM/GRU

Module 11

  • Exploratory data analysis of a given text (Word Cloud)

Module 12

  • Mini Project Report: For any one chosen real world NLP application

Module 13

  • Implementation and Presentation of Mini Project

Useful Links

  • 1 https://nlp-iiith.vlabs.ac.in/List%20of%20experiments.html
  • 2 https://onlinecourses.nptel.ac.in/noc21_cs102/preview
  • 3 https://onlinecourses.nptel.ac.in/noc20_cs87/preview
  • 4 https://nptel.ac.in/courses/106105158

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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