Natural Language Processing

  Natural Language Processing Context in this blog:- ### Basic NLP Concepts and Techniques 1. **Introduction to NLP**    - History and evolution of NLP    - Applications of NLP 2. **Tokenization**    - Word tokenization    - Sentence tokenization 3. **Stemming and Lemmatization**    - Differences between stemming and lemmatization    - Common algorithms (Porter Stemmer, Snowball Stemmer, etc.) 4. **Stop Words**    - Importance and handling of stop words    - Common stop word lists 5. **Text Vectorization**    - Count-Based Methods      - Bag of Words (BoW)      - TF-IDF      - One-Hot Encoding    - Word Embeddings      - Word2Vec      - GloVe      - FastText      - Contextualized Embeddings (e.g., ELMo, BERT, GPT) ### Intermediate NLP Techniques 6. **Part-of-Speech (POS) Tagging**...