Exploring NLP Basics with Python for Beginners

1. Installing NLTK

Image Source: leonardo Set up the Natural Language Toolkit (NLTK) to begin NLP tasks. It provides tools for tokenization, lemmatization, POS tagging, and more.

2. Text Preprocessing

Image Source: leonardo Transform raw text into a clean format by removing noise and structuring it for analysis.

3. Tokenization

Image Source: leonardo Split text into tokens (words or sentences) for easier processing and analysis.

4. Stopwords Removal

Image Source: leonardo Remove common words like “the” and “is” that don't add meaningful information to the analysis.

5. Stemming

Image Source: leonardo Reduce words to their root form by removing prefixes or suffixes, standardizing word variations.

6.Lemmatization

Image Source: leonardo Convert words to their base form while considering context, ensuring valid dictionary words.

7. Part-of-Speech (POS) Tagging

Image Source: leonardo Identify the grammatical categories (noun, verb, etc.) of words in a sentence to analyze sentence structure.

8. Named Entity Recognition (NER)

Image Source: leonardo Identify and classify named entities in text, such as people, locations, and dates.

9. Wrap-Up & Next Steps

Image Source: leonardo Explore more NLP tasks like text classification, sentiment analysis, or advanced libraries like spaCy and Hugging Face.