Sentiment Analysis is a well-studied topic in NLP where different techniques have been utilized to identify the emotion or sentiment through a sentence or a phrase.
Sentiment Analysis is the process of identifying the sentiment associated with the data points. It is mainly performed on textual data where we can utilize both supervised and unsupervised learning algorithms.
Learn how to build a simple logistic regression model in Python to perform sentiment analysis.
Gain practical experience by applying the knowledge and coding skills on real-world based business scenarios.
What’s included
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Flexible Scheduling
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Desktop Only
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Skills you will learn
Introduction to Sentiment Analysis
Text Preprocessing
Vectorization of Textual Data
Sentiment Analysis Through Classification Algorithms
This module explains the complete process of Sentiment Analysis and implements the same in Python programming language.
How it Works
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1 Video
1 Coding Case
1 Reading
1 Quiz
Difficulty: Advanced
Duration: Approximately 6 hours
