B.E. (Computer Engineering) Natural Language Processing Lab Syllabus - Mumbai University 2026
The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.
Loading syllabus...
Syllabus for Natural Language processing Lab
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, Plagarism, 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 for the given text input.
Module 8: Implement Named Entity Recognizer for the given text input.
Module 9: Implement Text Similarity Recognizer for the chosen text documents.
- Exploratory data analysis of a given text (Word Cloud) 11 Mini Project Report: For any one chosen real world NLP application. 13 Implementation and Presentation of Mini Project
Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Module numbering is as printed there too.
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.