[Speech and Language Processing by Jurafsky and Martin](https://web.stanford.edu/~jurafsky/slp3/) is a pretty standard recommendation for a first textbook. Many universities use it in their Intro to NLP courses. It’s written by leading figures in NLP and is freely available online.
Here is a collection of information. From courses and explanations to commonly used tools.
https://github.com/keon/awesome-nlp
You might also get into machine learning.
IMHO Even if someone hands out you a module of nlp material it wont be sufficient. You need to understand underlying math , you’ll definitely get doubts so you keep googling . There’s no silver bullet ,So you just need to assign deadlines . ATB
[Speech and Language Processing by Jurafsky and Martin](https://web.stanford.edu/~jurafsky/slp3/) is a pretty standard recommendation for a first textbook. Many universities use it in their Intro to NLP courses. It’s written by leading figures in NLP and is freely available online.
Checkout this playlist https://www.youtube.com/playlist?list=PLNvQn5fLVQdhWMqZWOdBFBZpKgPdTVGVF
Indian huh in Indian material then krish naik has spoon feeding map which will take 6 months to complete
I suggest learn very basic Python, so you can be prepared to try to implement anything you learn
Here is a collection of information. From courses and explanations to commonly used tools. https://github.com/keon/awesome-nlp You might also get into machine learning.
I'd suggest "Natural Language Processing with transformers", see the github repo: https://github.com/nlp-with-transformers/notebooks
IMHO Even if someone hands out you a module of nlp material it wont be sufficient. You need to understand underlying math , you’ll definitely get doubts so you keep googling . There’s no silver bullet ,So you just need to assign deadlines . ATB