Where, what, and how should I learn NLTK and spaCy for NLP? Any roadmap or advice?
A detailed, and in-depth guide to Sentiment Analysis in Python using NLTK, spacy, sklearn, PyTorch, and many more.
Glad it helped you
More on reddit.comLearning spaCy for a final project
according to this https://spacy.io/usage/models spacy has language models for spanish
More on reddit.comAdvice if I can use SpaCY for this project
Videos
Hey everyone 👋
I’m currently learning NLP (Natural Language Processing) and want to build a small chatbot project in Python. I’ve heard that both NLTK and spaCy are important for text processing, but I’m a bit confused about where to start and how to structure my learning.
Could someone please share a roadmap or learning order for mastering NLTK and spaCy? Like:
What concepts should I learn first?
Which library should I focus on more (NLTK or spaCy)?
Any good tutorials, YouTube channels, or course recommendations?
Should I also learn Hugging Face transformers later on, or is that overkill for now?
My current background:
Comfortable with Python and data structures
Learning Pandas and NumPy
Goal: Build an NLP chatbot (text-based, maybe later with a simple UI)
I’d love a step-by-step roadmap or advice from people who’ve already gone through this. 🙏
Thanks in advance!