Sentiment Analysis with LSTM and Keras in Python

Learn how to do Sentiment Classification using LSTM in Keras and Python.

4.45 (59 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
Sentiment Analysis with LSTM and Keras in Python
847
students
3 hours
content
Jun 2021
last update
$44.99
regular price

What you will learn

What is Sentiment Analysis

What are RNN and LSTMs

How to apply LSTM in Keras for Sentiment Analysis

Why take this course?

Sentiment analysis ( or opinion mining or emotion AI) refers to the use of natural language processing(NLP), text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

Simple RNNs are not good in capturing long-term dependencies. In this course we unleash the power of LSTM (Long Short Term memory) using Keras.

Reviews

Joe
July 22, 2021
Great introduction to sentiment analysis with Tensorflow, Keras, LSTM but the sample code needs to be updated --Errors, code deprecation warnings and Keras implementation issues
Jaideep
August 3, 2020
Abhishek has tried to clear the basic doubts of the techniques used in the course. Yes there is some problem with the pronunciation (this happens with many DS whose native language is not english ) but how does it matter if there is no lack of learning. I loved this course, thanks Abhishek :)
Beni
April 14, 2020
First of all, thank you for that. I searched for this content and information. You show good examples in the drawing, divided into good sections. BUT your English is sooo unintelligible. I was so hard to understand more than 30% of your words. Without being able to read your sketches and what you are talking about, I would have canceled this course and asked for a refund. I mean even the "subtitle" here can not recognize your very bad speech. Please try to speak more clearly as you know how to teach. So I will no longer buy a tutorial from you unless you speak more clearly. This is my constructive criticism, so hopefully you pay more attention to it. As I said, the tutorial is great! But please work on your pronunciation. Stay tuned. Good luck.
Hailin
January 29, 2020
Very insightful and enriching experience. Will try to apply the learning to my other NLP applications.
Jay
January 27, 2020
This series of lectures is prepared in a brilliant manner. I have watched many video lectures (and I really mean MANY :D) on topics of machine learning and this one is in my opinion one of the best if no the best that I have seen. Thank you for these lectures!
Xin
January 17, 2020
Excellent course. The best on Sentiment Analysis in Python if you want to understand sentiment analysis, and complete it with a 3-4 hours of effort.

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2757268
udemy ID
1/13/2020
course created date
1/17/2020
course indexed date
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