Text Mastery: NLP in Practice

This workshop covers the entire pipeline for transforming raw text into machine-readable data for real-world applications like content moderation. A key skill for aspiring CS students.

Level

Intermediate

For

Grades 6-12

Duration

1 or 3 Days

What You Will Master

Advanced Text Preprocessing

Master techniques like tokenization, stemming, lemmatization, and stop-word removal with NLTK.

Text-to-Vector Conversion

Convert text into numerical vectors using Bag-of-Words, TF-IDF, and pre-trained Word2Vec models.

Multi-Label Text Classification

Apply machine learning models to solve complex, real-world text problems with multiple possible outcomes.

NLP Pipeline Construction

Build an end-to-end system for processing, analyzing, and modeling with text data using Scikit-learn pipelines.

The Capstone Project

Toxic Comment Detection

A project with real-world impact. Students build a multi-label classification model to identify and flag different types of toxicity (e.g., insults, threats, obscenity) in online comments. This is a critical skill in the modern digital ecosystem and a challenging modeling problem.

Key Transformation

Build a complete, end-to-end text processing pipeline for a real-world content moderation and sentiment analysis task, adding a sophisticated NLP project to your portfolio.

Course Syllabus

1
Session 1: The Landscape of NLP

From sentiment analysis to machine translation, understand the key tasks in Natural Language Processing. Learn how to work with and clean large text corpora using Pandas and Regex.

2
Session 2: From Words to Numbers

Dive deep into vectorization techniques, from simple counts (Bag-of-Words) to frequency-based weighting (TF-IDF), and understand the trade-offs of each method for representing text as data.

3
Session 3: Modeling with Text Data

Apply models like Naive Bayes and Support Vector Machines (SVMs) to your vectorized text data to perform multi-label classification. Learn about NLP-specific evaluation metrics like the F1-score.

4
Session 4: Capstone - Building the Content Moderator

Construct, train, and evaluate your toxic comment detection model on a large dataset, aiming for both high accuracy and fairness in your predictions. Interpret model results and discuss limitations.

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Build Your Advantage

Our project-based workshops are designed to give you a tangible, verifiable edge. Enroll now to secure your spot and start building your future.