Sentiment analysis is a powerful technique in natural language processing (NLP) that identifies and categorizes opinions in text. Here's a quick guide to get started:

  1. Installation 📦
    Begin by installing NLTK via pip: 

    pip install nltk

    NLTK_Installation

  2. Data Preparation 📄
    Download required datasets: 

    import nltk
nltk.download('vader_lexicon')

    Text_Preprocessing_Steps

  3. Basic Analysis 💬
    Use VADER for sentiment scoring: 

    from nltk.sentiment import SentimentIntensityAnalyzer
sia = SentimentIntensityAnalyzer()
print(sia.polarity_scores("I love this tutorial!"))

    Sentiment_Classification_Model

For deeper exploration, check our NLTK tutorials overview 📚.

Sentiment_Analysis_Process