Natural Language Processing in Practice

✍ Scribed by Ekaterina Kochmar

• Year: 2020
• Tongue: English
• Leaves: 88
• Category: Library

✦ Table of Contents

contents
introduction
Your first NLP example
2.1 Introducing NLP in practice: Spam filtering
2.2 Understanding the task
2.3 Implementing your own spam filter
2.3.1 Step 1: Define the data and classes
2.3.2 Step 2: Split the text into words
2.3.3 Step 3: Extract and normalize the features
2.3.4 Step 4: Train the classifier
2.3.5 Step 5: Evaluate your classifier
2.4 Deploying your spam filter in practice
Introduction to Information Search
3.1 Understanding the task
3.1.1 Data and data structures
3.1.2 Boolean search algorithm
3.2 Processing the data further
3.2.1 Preselecting the words that matter: Stopwords removal
3.2.2 Matching forms of same word: Morphological processing
3.3 Information weighing
3.3.1 Weighing words with term frequency
3.3.2 Weighing words with inverse document frequency
3.4 Practical use of the search algorithm
3.4.1 Retrieval of the most similar documents
3.4.2 Evaluation of the results
3.4.3 Deploying search algorithm in practice
index
A
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D
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I
K
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P
Q
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V
03_Promo_Natural Language Processing in Practice.pdf
Getting Started with Natural Language Processing
Natural Language Processing in Action 
Real-World Natural Language Processing
Deep Learning for Natural Language Processing
Transfer Learning for Natural Language Processing