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Phase 9 · Natural Language Processing

Topics

Text Summarization

Part of the AI Engineer Roadmap.

Summary

Generating a shorter version of a text that preserves key information — extractive (selecting sentences) vs. abstractive (generating new text) approaches.

How to Learn This

  • 1Use a pretrained summarization model (e.g. BART, T5) via Hugging Face.
  • 2Compare extractive vs. abstractive summaries on the same document.
  • 3Evaluate summaries with ROUGE and understand its limitations.

Previous

Sequence Classification

Next

Question Answering Models

More topics in Natural Language Processing

Text Preprocessing (Tokenization, Stemming, Lemmatization)Bag of Words & TF-IDFWord Embeddings (Word2Vec, GloVe)Named Entity RecognitionSentiment AnalysisHugging Face Transformers LibraryPretrained NLP Models (BERT, RoBERTa)Sequence ClassificationQuestion Answering Models
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