Select Topics in Python: Natural Language Processing
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Select Topics in Python: Natural Language Processing
This course is part of Select Topics in Python Specialization
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What you'll learn
Analyze text in a variety of ways
Leverage the Natural Language Toolkit (NLTK) platform
Build a chatbot
Skills you'll gain
Tools you'll learn
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There are 3 modules in this course
Code and run your first NLP program in minutes without installing anything!
This course is designed for learners who have some experience with Python but are a novice to NLP. The modules in this course cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. Youβll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.
Welcome to Week 1 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics of NLP and the NLTK library, pre-processing, processing, and analyzing text. The module ends with graded coding exercises.
What's included
6 readings5 app items
6 readingsβ’Total 14 minutes
- Navigating Codio Assignmentsβ’5 minutes
- How to Reset an Assignment in Codioβ’5 minutes
- Getting Started (optional download)β’1 minute
- Pre-Processing Text (optional download)β’1 minute
- Parsing Text (optional download)β’1 minute
- Analyzing Text (optional download)β’1 minute
5 app itemsβ’Total 125 minutes
- Codio: Getting Startedβ’20 minutes
- Codio: Pre-Processing Textβ’20 minutes
- Codio: Parsing Textβ’20 minutes
- Codio: Analyzing Textβ’20 minutes
- Codio: Coding Exercisesβ’45 minutes
Welcome to Week 2 of the Select Topics in Python: Natural Language Processing course. These assignments cover how to convert natural language into numerical representations that enable you to compute the similarity between provided text, and how to use a pre-trained language model. The module ends with graded coding exercises.
What's included
6 readings5 app items
6 readingsβ’Total 14 minutes
- Navigating Codio Assignmentsβ’5 minutes
- How to Reset an Assignment in Codioβ’5 minutes
- Word Frequency Analysis: Bag of Words (optional download)β’1 minute
- Term Frequency-Inverse Document Frequency (optional download)β’1 minute
- Text Similarity Metrics (optional download)β’1 minute
- Pre-Trained Language Models (optional download)β’1 minute
5 app itemsβ’Total 125 minutes
- Codio: Word Frequency Analysis: Bag of Wordsβ’20 minutes
- Codio: Term Frequency-Inverse Document Frequencyβ’20 minutes
- Codio: Text Similarity Metricsβ’20 minutes
- Codio: Pre-Trained Language Modelsβ’20 minutes
- Codio: Coding Exercisesβ’45 minutes
Welcome to Week 3 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics about how chatbots work and will create a series of chatbots - ranging from a simple, hard-coded chatbot in Python to a more sophisticated open domain chatbot that uses a pre-trained language model. The module ends with graded coding exercises.
What's included
5 readings4 app items
5 readingsβ’Total 13 minutes
- Navigating Codio Assignmentsβ’5 minutes
- How to Reset an Assignment in Codioβ’5 minutes
- The Simple Bot (optional download)β’1 minute
- The API Bot (optional download)β’1 minute
- Pretrained Model (optional download)β’1 minute
4 app itemsβ’Total 120 minutes
- Codio: The Simple Botβ’25 minutes
- Codio: The API Botβ’25 minutes
- Codio: Pretrained Modelβ’25 minutes
- Codio: Coding Exercisesβ’45 minutes
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