Named Entity Recognition

Summary

Identifying and classifying entities (people, organizations, locations, dates) in text — a common building block for information extraction pipelines.

How to Learn This

1Run a pretrained NER model (spaCy or Hugging Face) on real text and inspect the output.
2Learn the standard entity tagging scheme (BIO tagging).
3Fine-tune an NER model on a small custom-labeled dataset.

Word Embeddings (Word2Vec, GloVe)

Sentiment Analysis

More topics in Natural Language Processing

Text Preprocessing (Tokenization, Stemming, Lemmatization)Bag of Words & TF-IDF Word Embeddings (Word2Vec, GloVe)Sentiment Analysis Hugging Face Transformers Library Pretrained NLP Models (BERT, RoBERTa)Sequence Classification Text Summarization Question Answering Models

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