Home Collections 11 Best + Free Sentiment Analysis Courses & Projects

11 Best + Free Sentiment Analysis Courses & Projects

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Sentimental analysis or we can also say opinion mining is known to be a natural language processing (NLP) technique that is used by thousands of individuals to determine whether their data is positive, negative, or neutral. It is mostly performed on textual data and the aim behind it is to help businesses monitor brand and product sentiment in customer feedback. In short, with the help of sentiment analysis, we can understand customer needs better.

To understand more about sentimental analysis and how it can be used, our team at takethiscourse.net has compiled a list of Best + Free Sentiment Analysis Courses & Projects. This list is a combination of both free and paid courses for our learners to choose from. So, let us take a look at what this list has for us.

# Course Name University/Organization Ratings Duration
1. Sentiment Analysis with Deep Learning using BERT Coursera Project Network ★★★★4.4 (364 Reviews) 02 Hours
2. Applied Text Mining and Sentiment Analysis with Python Udemy ★★★★4.4 (314 Reviews) 2.5 Hours
3. Sentiment Analysis in Python datacamp ★★★★4.4 (314 Reviews) 04 Hours
4. Hands-On Natural Language Processing LinkedIn Learning ★★★★4.4 (35 Reviews) 50 Min
5. Sentiment Analysis with LSTM and Keras in Python Udemy ★★★★★4.5 (51 Reviews) 03 Hours
6. NLP: Twitter Sentiment Analysis Coursera Project Network ★★★★★4.6 (324 Reviews) 03 Hours
7. Perform Sentiment Analysis with scikit-learn Coursera Project Network ★★★★★4.5 (406 Reviews) 02 Hours
8. Sentiment Analysis in R datacamp 04 Hours
9. Introduction to Sentiment Analysis in R with quanteda Coursera Project Network 02 Hours
10. Basic Sentiment Analysis with TensorFlow Coursera Project Network ★★★★★4.5 (197 Reviews) 02 Hours
11. Machine learning and Lexicon approach to Sentiment analysis Udemy ★★★★★4.7 (39 Reviews) 3.5 Hours
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

 

Best + Free Sentiment Analysis Courses

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Sentiment Analysis with Deep Learning using BERT

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

Sentiment Analysis with Deep Learning using BERT

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

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.
This course was the best one I ever got to enroll in. The information was quite engaging and to the point. The explanation on deep learning was also interesting and I really liked this project and I think I will definitely apply whatever I learned from this course at my work. (Yesica C, ★★★★★)

Coursera Plus Courses

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Applied Text Mining and Sentiment Analysis with Python

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

Applied Text Mining and Sentiment Analysis with Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

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.
This course is quite unique as the instructor has beautifully managed to break down the training into a form that is understandable to everyone, even a person like me who is a slow learner. I truly enjoyed learning from this course as everything was explained thoroughly. (Tay Way Hua, ★★★★★)

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Sentiment Analysis in Python

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

Sentiment Analysis in Python

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.

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Hands-On Natural Language Processing

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

Hands-On Natural Language Processing

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

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.
I think this was a great course that had engaging content to offer. I can recommend this course to all those interested. (Priyantha H, ★★★★★)

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Sentiment Analysis with LSTM and Keras in Python

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

Sentiment Analysis with LSTM and Keras in Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

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.
An excellent course on sentiment analysis that contains all the necessary information explained smoothly. (Xin L, ★★★★★)

Learn Most In-demand Skills

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NLP: Twitter Sentiment Analysis

      • Coursera Project Network via Coursera
      • 9,681+ already enrolled!
      • ★★★★★ (324 Ratings)
Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

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.
I have definitely learned a lot from the course. The instructor Ryan is great and has explained everything in a clear manner. The content even though became progressively complex as you move forward but it was worth it. (Jeremy D, ★★★★★)

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Perform Sentiment Analysis with scikit-learn

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

Perform Sentiment Analysis with scikit-learn

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

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.
This was a very useful and highly informative project and is suitable for all those who know nothing about sentiment analysis. The approach with Scikit-learn was great. (Julio C, ★★★★★)

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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.

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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.

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Basic Sentiment Analysis with TensorFlow

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

Basic Sentiment Analysis with TensorFlow

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

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.
The instructor has explained almost all the topics in a great manner. Only because of this instructor, majority of my doubts got cleared. The duration of the project was also fine and I can say this guided project has for sure met my expectations. (Sadaf A, ★★★★★)

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Machine learning and Lexicon approach to Sentiment analysis

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

Machine learning and Lexicon approach to Sentiment analysis

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

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.
The sentiment analysis course material was awesome but yes I would mention here about the quality of the microphone as it was poor. The least the instructor could have done was provide a manual subtitle. Otherwise the course is great and anyone can learn so much from it. (Jatmiko P, ★★★★★)

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