Pluralsight – Building Sentiment Analysis Systems in Python 2024-10

Description

Building Sentiment Analysis Systems in Python course. This course teaches you how to build systems for sentiment analysis in text using the Python programming language. Nowadays, people express their opinions and thoughts in abundance online. Sentiment analysis helps us analyze these opinions and understand how people feel about a particular topic. In this course, you’ll learn how to extract sentiment from text using a variety of methods, including rule-based methods and machine learning.

This training course introduces you to the principles of building systems for sentiment analysis in text. Using the Python programming language, you will be able to identify and categorize the emotions embedded in online comments. In this course, we will first examine the differences between methods based on predefined rules and machine learning methods in sentiment analysis. Then, we’ll build practical sentiment analyzers using powerful tools like VADER, Sentiwordnet, and NaiveBiz Classifiers. Next, we’ll hone our skills by applying these analytics to a real dataset of movie reviews. Finally, we will review the concept of support vector machines and examine the reasons for the preference of the Naive Bayes classifier in many sentiment analysis problems. By completing this course, you will gain a thorough understanding of the process of extracting sentiment from text and the factors influencing choosing the right method for each problem.

What you will learn:

• Differences between rule-based and machine learning methods in sentiment analysis
• Using VADER tools, Sentiwordnet and Naive Biz classifiers
• Building three different sentiment analyzers
• Classification of a collection of film reviews
• A conceptual understanding of Support Vector Machines and the reasons why the Naive Bayes classifier is superior in many cases

This course is suitable for people who:

• They are interested in natural language processing.
• They want to learn how to use textual data to extract useful information.
• Looking for sentiment analysis tools in their projects.
• They want to get a deep understanding of different methods of sentiment analysis.

Course details

• Publisher: Pluralsight
• Instructor: Vitthal Srinivasan
• Training level: beginner
• Training duration: 2 hours and 31 minutes

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