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Natural Language Processing Fundamentals

Chapter 1: NLP Concepts and Advanced Text Processing

The Natural Language Processing Pipeline

Advanced Tokenization Methods

Stemming and Lemmatization Compared

Handling Noise in Text Data

Advanced Stop Word Customization

Text Normalization Techniques

Hands-on Practical: Building Preprocessing Pipelines

Quiz for Chapter 1

Chapter 2: Feature Engineering for Text Representation

From Bag-of-Words to TF-IDF

Calculating TF-IDF Scores

Using N-grams to Capture Context

Introduction to Feature Hashing

Dimensionality Reduction for Text Features

Comparing Different Text Representation Methods

Hands-on Practical: Generating Text Features

Quiz for Chapter 2

Chapter 3: Supervised Learning for Text Classification

Classification Algorithms Review

Applying Classifiers to Text Data

Model Evaluation Metrics for Classification

Cross-Validation Strategies

Hyperparameter Tuning for Text Models

Addressing Imbalanced Datasets

Practice: Building a Text Classifier

Quiz for Chapter 3

Chapter 4: Understanding Sequential Data with Embeddings

Limitations of Frequency-Based Models

Introduction to Distributional Semantics

Word Embedding Concepts

Word2Vec: CBOW and Skip-gram Architectures

GloVe: Global Vectors for Word Representation

Visualizing Word Embeddings

Using Pre-trained Word Embedding Models

Hands-on Practical: Working with Word Embeddings

Quiz for Chapter 4

Chapter 5: Introduction to Sequence Models for NLP

The Need for Sequence Awareness

Recurrent Neural Network (RNN) Basics

Understanding the Vanishing Gradient Problem

Long Short-Term Memory (LSTM) Networks

Gated Recurrent Units (GRUs)

Applying Sequence Models to Text

Hands-on Practical: Building a Simple Sequence Model

Quiz for Chapter 5

Quiz
Beta

Chapter: NLP Concepts and Advanced Text Processing

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 12 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

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