11 Best + Free Sentiment Analysis Courses & Projects

Want to understand how to decode emotions in text data? Our list of premier Sentiment Analysis Courses is the best way to do that. Get ready to harness the power of emotional intelligence in data with this list.

Key Takeaways

• Access to leading sentiment analysis courses.
• Learn techniques to interpret emotions in text.
• Improve your data analysis capabilities with emotional insights.

What are the best courses for mastering sentiment analysis?

Our list of Best Sentiment Analysis Courses equips learners with the skills they need to analyze and interpret emotions in textual data using advanced analytics techniques.

Sentiment Analysis Courses Evaluation & Selection Criteria

We select each course following a meticulous process that evaluates the depth of course content. Other factors include instructor expertise in machine learning and NLP and practical case studies. Our focus is to offer courses that depict both theoretical knowledge and hands-on experience in sentiment analysis.

Best + Free Sentiment Analysis Courses

Sentiment Analysis with Deep Learning using BERT

• • • Coursera Project Network via Coursera
    • 12,704+ already enrolled!
    • ★★★★☆ (364 Ratings)

In this course, the instructor explains how you can reprocess and clean data for BERT classification.

• The best thing about this course is its focus on explaining how to load in pre-trained BERT with a custom output layer.
• This course is for those who wish to know how to evaluate fine-tuned BERT architecture on their problem statement.

Applied Text Mining and Sentiment Analysis with Python

• • • Benjamin Termonia via Udemy
    • 4,132+ already enrolled!
    • ★★★★☆ (314 Ratings)

If you are interested in learning how to perform sentiment analysis on Twitter then this course is what you need. You will learn to do that by combining text mining and NLP techniques and Scikit-Learn.

• The reason why we chose this course is its focus on explaining how to use Scikit-Learn to build a sentiment analysis prediction model.
• This course is for those who wish to understand how to use NLTK to pre-process text and so much more in detail.

Sentiment Analysis in Python

• • • Violeta Misheva via datacamp
    • 12,202+ already enrolled!
    • 04 Hours of effort required!

This “Sentiment Analysis in Python” class is all about helping you make sense of the sentiment expressed in various documents.

• The reason why we chose this class is its focus on explaining how to use real-world datasets featuring tweets, movie and product reviews, and also Python’s NLTK and Scikit-learn packages.
• This class is for those who wish to become capable to carry end-to-end sentiment analysis tasks in Python.

Hands-On Natural Language Processing

• • • Wuraola Oyewusi via LinkedIn Learning
    • 5,420+ already enrolled!
    • ★★★★☆ (35 Ratings)

This is an advanced level course that teaches the practical application of major natural language processing tasks. Here you will learn to replicate the knowledge in data that you work with.

• The reason why we chose this course is its focus on explaining all about entity recognition, topic modeling, sentiment analysis, and text summarization.
• This course is for all the developers out there who wish to understand text data and what natural language processing is.

Sentiment Analysis with LSTM and Keras in Python

• • • Abhishek Kumar via Udemy
    • 779+ already enrolled!
    • ★★★★★ (51 Ratings)

This course will allow you to understand how to do sentiment classification using LSTM in Keras and Python.

• The best thing about this course is its focus on explaining what RNN and LSTMs are and how to apply LSTM in Keras for sentiment analysis.
• This course is for those who wish to understand all about sentiment analysis in Python using Keras and LSTM.

For a deep dive into how emotions and opinions are gauged in educational settings, check out our ‘Understanding Learner Sentiment Analysis: A Comprehensive Guide.’

Continue with more Sentiment Analysis Courses…

NLP: Twitter Sentiment Analysis

• • • Coursera Project Network via Coursera
    • 9,681+ already enrolled!
    • ★★★★★ (324 Ratings)

This beginner level guided-project is all about explaining how to create a pipeline to remove stop-words, and punctuation, and perform tokenization.

• The reason why we chose this course is its focus on explaining the theory and intuition behind Naïve Bayes Classifiers.
• This course is for those who wish to understand how to train a Naïve Bayes Classifier and assess its performance.

Perform Sentiment Analysis with scikit-learn

• • • Coursera Project Network via Coursera
    • 9,650+ already enrolled!
    • ★★★★★ (406 Ratings)

This guided project explains how you can build and employ a logistic regression classifier sing Scikit-learn.

• The best thing about this course is its focus on explaining how to clean and pre-process text data and perform feature extraction with The Natural Language Toolkit (NLTK).
• This course is for those who wish to learn to tune model hyperparameters and evaluate model accuracy.

Sentiment Analysis in R

• • • Ted Kwartler via datacamp
    • 11,326+ already enrolled!
    • 04 Hours of effort required!

This is the type of course that helps you understand how to identify positive and negative language and make compelling visualizations. Here you will be taught how to apply your sentiment analysis skills to Airbnb reviews and learn what makes for a good rental and so much more.

Introduction to Sentiment Analysis in R with quanteda

• • • Coursera Project Network via Coursera
    • 02 Hours of effort required!
    • Study Level: Beginner

This course talks about how you can run your first generic and targeted sentiment analysis using a dataset of US presidential concession speeches.

• The best thing about this course is its focus on explaining how to visualize sentiment analysis results over time in a plot while stratifying by an additional variable.
• This course is for those who wish to learn to carry out a targeted sentiment analysis with positive and negative sentiment words.

Basic Sentiment Analysis with TensorFlow

• • • Coursera Project Network via Coursera
    • 7,114+ already enrolled!
    • ★★★★★ (197 Ratings)

This “Basic Sentiment Analysis with TensorFlow” course talks about how to create, train, and evaluate a neural network in TensorFlow. Here you will understand what word embedding is in detail.

• The reason why we chose this course is its focus on explaining how to solve sentiment analysis and text classification problems with neural networks in detail.
• This sentiment analysis course is for those who wish to understand how to train the model to fit the dataset and then evaluate it.

Machine learning and Lexicon approach to Sentiment analysis

• • • Jaro Algo via Udemy
    • 5,950+ already enrolled!
    • ★★★★★ (39 Ratings)

This course is all about explaining how to create a twitter developer account and then connect to Twitter API.

• The best thing about this course is its focus on explaining all about Tokenization, Stemming, Lemmatization, and so much more.
• This course is for those who wish to understand the Machine Learning approach to Sentiment Analysis.