Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 48 Minute(s)
Language
English
Taught by
Abhishek Kumar
Rating
Course Overview
Learn how to do Sentiment Classification using LSTM in Keras and Python.
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.
Course Content
- 7 section(s)
- 19 lecture(s)
- Section 1 Introduction
- Section 2 Sentiment Analysis Workflow
- Section 3 Sentiment Analysis with Keras
- Section 4 Word Representations
- Section 5 LSTM Layer
- Section 6 Putting it all Together
- Section 7 Conclusion
What You’ll Learn
- What is Sentiment Analysis
- What are RNN and LSTMs
- How to apply LSTM in Keras for Sentiment Analysis
Skills covered in this course
Reviews
-
AAnderson Batista Evangelista Lima
PROS: 1 - The course content is good; 2 - The presentation is concise; 3 - The instructor understands what he is talking about; 4 - The code is up to date (no errors when running it); 5 - You actually learn something; 6 - There is a nice task on the end of the course (tweets sentiment analysis). CONS: 1 - The pronounciation makes it really hard to understand what is actually being said; 2 - The subtitles don't help; 3 - The nice task on the end of the course does not have an instructo example of how to solve it!
-
SStephanie Olivier
This course did not include any data cleaning or preparation training.
-
JJoe Adah
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
-
NNeha Patil
Short and knowledgeable I really like this course
