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Text Mining and Natural Language Processing in Python

Learn the basics of Natural Language Processing in Python and build your own Deep Learning Sentiment Analysis!
5.0
5.0/5
(1 reviews)
5 students
Created by

9.4

CourseMarks Score®

9.8

Freshness

10.0

Feedback

7.7

Content

Platform: Udemy
Video: 1h 48m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.8 / 10
This course was last updated on 2/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

10.0 / 10
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Content Score

7.7 / 10
Video Score: 7.8 / 10
The course includes 1h 48m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

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This course contains:

0 article.
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Table of contents

Description

Do You Want to Analyse Product Reviews or Social Media Posts to see whether they are positive or negative?
Do you want to be able to make Computers understand Natural Language?
Then this course is just right for you! We will go over the basic, theoretical foundations of Natural Language Processing (NLP) and directly apply them in Python.
It becomes ever more important for companies and organizations to keep track of large amounts of social media posts concerning their brand or product reviews. In NLP there is a whole field called sentiment analysis, that tries to automate this process. In the end, a Deep Learning model can then process a text and predict whether it’s a positive or negative review. If you are curious about how to build such a model, then this course is just right for you!
Get to know the Basics of NLP & Text Mining and learn how to implement it in Python:
My course will help you implement the learned methods directly in Python modules like spaCy or NLTK. Besides learning the ground rules of NLP and common methods, you will even deal with so-called Transformer models, which are state-of-the-art in Natural Language Processing. In the end, you will combine your gained knowledge to build up a functioning Deep Learning Model that can take text as input and predict a sentiment. With this powerful course, you’ll know it all: applying different steps of text preprocessing, combining it in datasets, and building a Deep Learning Model in TensorFlow.
Learn from an experienced Machine Learning Engineer and University Teacher: 
My name is Niklas Lang and I am a Machine Learning Engineer, currently working for a German IT System House. I have experience in working with kinds of textual data arising from our e-commerce website, product descriptions, or online reviews which we turn into powerful and working Machine Learning models. Besides that, I already taught courses at University level for Data Science as well as Business Intelligence.
Here is what you will get: 
•Introduction to Jupyter Notebooks and Python Module Management
•Introduction to Natural Languages and NLP Applications
•In-Detail Text Preprocessing Techniques in Python
•Overview of Feature Engineering Approaches like Word2Vec, Bag of Words, or BERT Embeddings
•In-Depth Explanation on Convolutional Neural Networks for Classification Tasks
•Implementing Machine Learning Model for Sentiment Analysis Task in TensorFlow
•Getting to know the Process of Building, Compiling and Training a Deep Learning Model in Python
Join the course now!

You will learn

✓ Students will be able to install Jupyter Notebook and manage Python Modules
✓ Definition of Natural Language and its Applications
✓ Get to know Basics of Natural Language Processing
✓ Learn Basics of Text Processing with NLTK and spaCy
✓ Get to know Traditional Feature Engineering Models
✓ Implement a working Sentiment Analysis Model
✓ Learn to Code all these points in Python

Requirements

• Prior Experience in Python
• Prior Implementation of Machine Learning Models will be beneficial
• Should have an Interest in Learning Practical Text Mining and Natural Language Processing (NLP)

This course is for

• People who wish to Learn Practical Text Mining and Natural Language Processing

How much does the Text Mining and Natural Language Processing in Python course cost? Is it worth it?

The course costs $14.99. And currently there is a 63% discount on the original price of the course, which was $23. So you save $8 if you enroll the course now.

Does the Text Mining and Natural Language Processing in Python course have a money back guarantee or refund policy?

YES, Text Mining and Natural Language Processing in Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Text Mining and Natural Language Processing in Python course, but there is a $8 discount from the original price ($23). So the current price is just $14.99.

Who is the instructor? Is Niklas Lang a SCAM or a TRUSTED instructor?

Niklas Lang has created 1 courses that got reviews which are generally positive. Niklas Lang has taught 5 students and received a 5.0 average review out of reviews. Depending on the information available, Niklas Lang is a TRUSTED instructor.
Data Scientist
I completed an MSc (University of Freiburg, GER) in 2020 where I focussed on implementing machine learning techniques for quantifying the impact on auctions. I work as a Machine Learning Engineer for a large German IT system house where our team focuses on Natural Language Processing techniques and Machine Learning models for the e-commerce website. So far, I taught multiple University courses in the field of Business Intelligence and Data Science.

9.4

CourseMarks Score®

9.8

Freshness

10.0

Feedback

7.7

Content

Platform: Udemy
Video: 1h 48m
Language: English
Next start: On Demand

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