Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	3	1	23A31501	NATURAL LANGUAGE PROCESSING	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	NATURAL LANGUAGE PROCESSING - 23A31501 (Theory)	23A31501	23A31501	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	book_file	note
1	NATURAL LANGUAGE PROCESSING - 23A31501 (Theory)	Daniel Jurafsky & James H. Martin – Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Pearson Education, 2023.	Daniel Jurafsky & James H. Martin	Pearson Education	2026	Textbook	Link	True
2	NATURAL LANGUAGE PROCESSING - 23A31501 (Theory)	Akshay Kulkarni & Adarsha Shivananda – Natural Language Processing Recipes - Unlocking Text Data with Machine Learning and Deep Learning using Python, Apress, 2019.	Akshay Kulkarni & Adarsha Shivananda	Apress,	2019	Reference	Link	True

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

Sno	subject	date	title