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CodeSignal

Foundations of NLP Data Processing

via CodeSignal

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Overview

Master the foundations of NLP data processing with hands-on practice in text cleaning, vectorization (TF-IDF, bag-of-words, embeddings), modern tokenization methods (BPE, WordPiece, SentencePiece), and efficient large-scale data prep for LLMs. You'll build pipelines that scale from basic preprocessing to embedding storage in vector databases.

Syllabus

  • Unit 1: Text Cleaning and Normalization in NLP
    • Text Cleaning with Regular Expressions
    • Text Normalization in Action
    • Refine Your Text Cleaning Skills
    • Stemming vs Lemmatization Showdown
  • Unit 2: Bag-of-Words and N-Grams in NLP
    • Bag-of-Words Model Implementation
    • Enhance Text Analysis with N-Grams
    • Text Classification with Bag-of-Words
  • Unit 3: Introduction to TF-IDF Vectorization in NLP
    • Uncover Key Terms with TF-IDF
    • Enhance Text Analysis with Bigrams
    • Trigram Analysis with TF-IDF
    • Comparing BoW and TF-IDF
  • Unit 4: Introduction to Word Embeddings
    • Exploring Word Similarity with GloVe
    • Exploring Word Synonyms with Embeddings
    • Word Analogy with GloVe
    • Visualize Word Embeddings with PCA

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