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CodeSignal

Practical Applications of spaCy for Real-Life Tasks

via CodeSignal

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Overview

Understanding theory and basic tools of spaCy is of paramount importance, but applying them to real-life tasks is what drives value. The course focuses on four case studies that involve practical applications of spaCy to solve real-world problems.

Syllabus

  • Unit 1: Text Classification for Spam Detection Using spaCy
    • Spam Detection: Modify Test Texts
    • Enhance Training Data for Model
    • Add Extra Category to Classifier
    • Build a Spam Classifier Pipeline
  • Unit 2: Named Entity Recognition in User Reviews Using spaCy
    • Filter Reviews Discussing Prices
    • Sorting Reviews by Dates
    • Identifying Locations and Averaging Scores
  • Unit 3: Information Extraction from Legal Documents Using spaCy
    • Extract Key Entities from Text
    • Filter Entities With spaCy
    • Entity Recognition and Counting

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