B.E Artificial Intelligence and Machine Learning Natural Language Processing Lab Syllabus - Mumbai University

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