Sentiment Analysis with LSTM and Keras in Python
Learn how to do Sentiment Classification using LSTM in Keras and Python.
Bullstrack
Sentiment Analysis with LSTM and Keras in Python udemy course
Learn how to do Sentiment Classification using LSTM in Keras and Python.
What you'll learn:
- What is Sentiment Analysis
- What are RNN and LSTMs
- How to apply LSTM in Keras for Sentiment Analysis
Requirements:
- Basic Python programming
Description:
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.
Who this course is for:
- Data scientists
- Machine Learning Engineers
- Applied Scientists
- Research Scientists
- College Students
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Course Details:
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3 hours on-demand video
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25 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Assignments
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Certificate of completion
Sentiment Analysis with LSTM and Keras in Python udemy free download
Learn how to do Sentiment Classification using LSTM in Keras and Python.
Demo Link: https://www.udemy.com/course/sentiment-analysis-with-lstm-and-keras-in-python/
