Udemy

Platform

English

Language

Data Science

Category

Natural Language Processing With TextBlob (Python NLP)

Learn how to perform NLP with one of the most popular NLP frameworks -- TextBlob. This course is in 100% Python

4.83 (3 reviews)

Students

1.5 hours

Content

Jul 2021

Last Update
Regular Price


What you will learn

Natural Language Processing (NLP)

TextBlob -- a Python framework built on top of NLTK

Tokenization

Text classification

Part-of-speech tagging

Producing definitions

Comparing the similarity of words

Generating n-grams

Spell checking

Sentiment analysis

Hugging Face's Datasets library


Description

TextBlob is an open-source Python package built on top of NLTK, which is perhaps the most well-known NLP framework. TextBlob allows you to complete common NLP tasks with just a few lines of code and with minimal complexities. So, whether you're a beginner looking to learn NLP or a professional who wants to learn a tool to simplify your life -- this course is for you.

TextBlob is one of the most popular NLP Python packages with over 7700 stars on GitHub and over 10M downloads.


This course will cover:

  1. Text classification

  2. Tokenization

  3. Part-of-speech tagging

  4. Getting synonyms

  5. Producing definitions

  6. Comparing the similarity of words

  7. Spell checking

  8. Generating n-grams

  9. Sentiment analysis

  10. Fetching data from Hugging Face's dataset distribution network


    AND MORE ALL WITH TEXTBLOB!!


Installations:

NONE!!! This is done entirely in Google Colab, which is web based.


About the instructor:

My name is Eric Fillion, and I’m from Canada. I’m on a mission to make state-of-the-art advances in the field of NLP through creating open-source tools and by creating educational content. In early 2020, I led a team that launched an open-source Python Package called Happy Transformer. Happy Transformer allows programmers to implement and train state-of-the-art Transformer models with just a few lines of code. Since its release, it has won awards and has been downloaded over 17k times.

Requirements:

  • A basic understanding of Python

  • A google account -- for Google Colab


What Now?

I've made all of the introductory lectures for each section available for free preview. So, check them out, and I'm looking forward to seeing you in the course!


Screenshots

Natural Language Processing With TextBlob (Python NLP)
Natural Language Processing With TextBlob (Python NLP)
Natural Language Processing With TextBlob (Python NLP)
Natural Language Processing With TextBlob (Python NLP)

Content

Introduction

Course Introduction

TextBlob Basics

Section 2 Introduction

Section 2 Links

Create a TextBlob

Tokenization

Part-of-Speech Tagging

Section 2 Challenge

WordNet

Section 3 Introduction

Section 3 Links

Synsets

Get Definitions

Similarity

Section 3 Challenge

Fundmental NLP Tasks

Section 4 Introduction

Section 4 Links

Word Frequency

Data Preprocessing

Spell Checking

N-Grams

Section 4 Challenge

Text Classification

Section 5 Introduction

Section 5 Links

Sentiment Analysis

Get/Format Data With Hugging Face's Datasets Library

Train a Model

Section 5 Challenge

Conclusion

Conclusion

Bonus Section


4157422

Udemy ID

7/1/2021

Course created date

7/27/2021

Course Indexed date
Bot
Course Submitted by