NLP Guide 🧠💬

Natural Language Processing

1. What is NLP?

NLP is a field of AI that helps computers understand, interpret, and generate human language.

2. NLP Tasks

- Text Classification
- Sentiment Analysis
- Chatbots
- Translation
- Speech Recognition

3. Libraries

- NLTK
- spaCy
- Transformers (HuggingFace)

4. Installation

pip install nltk spacy transformers

5. Tokenization

from nltk.tokenize import word_tokenize

text = "Hello world"
tokens = word_tokenize(text)
print(tokens)

6. Remove Stopwords

from nltk.corpus import stopwords

words = ["this", "is", "good"]
filtered = [w for w in words if w not in stopwords.words('english')]

7. Text to Numbers

from sklearn.feature_extraction.text import CountVectorizer

vec = CountVectorizer()
X = vec.fit_transform(["hello world"])

8. Transformers (AI Models)

from transformers import pipeline

chat = pipeline("text-generation")
print(chat("Hello AI"))

9. Real Use Cases