NLP Boot-camp: Hands-on Text mining in Python using TextBlob

NLP Boot-camp: Hands-on Text mining in Python using TextBlob, available at $44.99, has an average rating of 4.75, with 26 lectures, based on 8 reviews, and has 46 subscribers.

You will learn about Strong concepts regarding Natural Language processing Complete command over Tokenization, Tagging and Noun Phrase Extraction Complete knowledge regarding Sentiment Analysis, Words Inflection and lemmatization Fully familiar with N-grams, Frequency and Text Classification System Complete knowledge regarding Naive Bayes Classifiers and Model Accuracy Complete knowledge regarding Language Detection, Translation, Spell Checking In addition, student will learn "How to use NLTK classes in TextBlob?" This course is ideal for individuals who are Beginner Python Developer curious about Natural Language Processing. It is particularly useful for Beginner Python Developer curious about Natural Language Processing.

Enroll now: NLP Boot-camp: Hands-on Text mining in Python using TextBlob

Summary

Title: NLP Boot-camp: Hands-on Text mining in Python using TextBlob

Price: $44.99

Average Rating: 4.75

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Strong concepts regarding Natural Language processing
Complete command over Tokenization, Tagging and Noun Phrase Extraction
Complete knowledge regarding Sentiment Analysis, Words Inflection and lemmatization
Fully familiar with N-grams, Frequency and Text Classification System
Complete knowledge regarding Naive Bayes Classifiers and Model Accuracy
Complete knowledge regarding Language Detection, Translation, Spell Checking
In addition, student will learn "How to use NLTK classes in TextBlob?"

Who Should Attend

Beginner Python Developer curious about Natural Language Processing.

Target Audiences

Beginner Python Developer curious about Natural Language Processing.

In NLP Boot-camp: Hands-on Text mining in Python using TextBlob for Beginners course, you will learn Text Mining, Sentiment Analysis, Tokenization, Noun Phrase Extraction, N-grams, and so many new things. I will start from a very basic level where I will assume that everyone is an absolute beginner, having no knowledge regarding Machine Learning, Artificial Intelligence, and Natural Language Processing. So, I will be explaining everything in a very easy manner. I will start with Tokenization, Parts-of-speech tagging, Noun Phrase Extraction, Sentiment Analysis, Spell Checking, Words Inflection, Lemmatization, Spell Checking, Words, and Noun Phrase Frequency, and N-grams. Then, I will jump to the intermediate level where I will explain how to develop your own Text Classification System and I will explain what is Naive Bayes Classifier, how to create a model, its training and testing. In the advanced/ final level, I will explain Model Accuracy, then I will again explain about Tokenizer, Sentiment Analyzer, Parts-of-speech Tagger, and Noun Phrase Extractor. For all these projects, I will use one of the easiest Python libraries for Natural Language Processing and that is TextBlob. This NLP Boot-camp: Hands-on Text mining in Python using TextBlob for Beginners course is designed in such a way that after this course, learning other advanced Natural Language Processing Libraries like NLTK, Tensor-Flow, and Keras, etc will be no more difficult for you.

Course Curriculum

Chapter 1: Prerequisites

Lecture 1: Introduction

Lecture 2: What is TextBlob

Lecture 3: Environment Preparation

Chapter 2: Basic Level

Lecture 1: Blob Creation and Tokenization

Lecture 2: Parts-of-speech Tagging

Lecture 3: Noun Phrase Extraction

Lecture 4: Sentiment Analysis

Lecture 5: Words Inflection

Lecture 6: Lemmatization

Lecture 7: Spell Checking

Lecture 8: Word and Noun Phrase Frequency

Lecture 9: N-grams

Lecture 10: TextBlob acts like Python String

Lecture 11: Getting Start and End Indices

Chapter 3: Intermediate Level

Lecture 1: Text Classification System Introduction

Lecture 2: Naive Bayes Classifier

Lecture 3: Text Classification

Lecture 4: TextBlob Classification

Lecture 5: Checking Model Accuracy and Model Updating

Chapter 4: Advance Level

Lecture 1: Sentiment Analyzer

Lecture 2: Tokenizer

Lecture 3: Noun Phrase Extractor

Lecture 4: POS Tagger

Lecture 5: Blobber

Lecture 6: Language Detection and Translation

Chapter 5: Q&A

Lecture 1: HTTP Error 404

Instructors

Nileg Production
Software Developer
Umair Ahmed Younas
Computer Enthusiastic

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 0 votes
5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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