Natural Language Processing

Tools and frameworks for text analysis, sentiment analysis, and language understanding

Overview

Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and manipulate human language. It combines computational linguistics, machine learning, and deep learning to process and analyze large amounts of natural language data.

Key Features

  • Text classification and sentiment analysis
  • Named entity recognition
  • Machine translation
  • Question answering systems

Getting Started

# Install NLTK
pip install nltk

# Import NLTK
import nltk
from nltk.tokenize import word_tokenize
from nltk.sentiment import SentimentIntensityAnalyzer

# Download required NLTK data
nltk.download('punkt')
nltk.download('vader_lexicon')

# Tokenize text
text = "Natural Language Processing is fascinating!"
tokens = word_tokenize(text)

# Perform sentiment analysis
sia = SentimentIntensityAnalyzer()
sentiment = sia.polarity_scores(text)
print(sentiment)

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Learning Resources