NLP: Twitter Sentiment Analysis
5.0 /5- Offered byCoursera
NLP: Twitter Sentiment Analysis at Coursera Overview
NLP: Twitter Sentiment Analysis
at Coursera
Become a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets
Duration | 2 hours |
Total fee | ₹729 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Credential | Certificate |
NLP: Twitter Sentiment Analysis at Coursera Highlights
NLP: Twitter Sentiment Analysis
at Coursera
- Get all learning materials, including the interactive workspace and final quiz
- Get instant access to the necessary software packages through Rhyme
- A split-screen video walkthrough of each step, from a subject-matter expert
- Ability to access your cloud desktop across six different sessions
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NLP: Twitter Sentiment Analysis at Coursera Course details
NLP: Twitter Sentiment Analysis
at Coursera
Skills you will learn
Who should do this course?
- For learners who are based in the North America region
What are the course deliverables?
- Create a pipeline to remove stop-words, punctuation, and perform tokenization
- Understand the theory and intuition behind Naive Bayes classifiers
- Train a Naive Bayes Classifier and assess its performance
More about this course
- This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews
NLP: Twitter Sentiment Analysis at Coursera Curriculum
NLP: Twitter Sentiment Analysis
at Coursera
Import libraries and datasets
Perform Exploratory Data Analysis
Plot the word cloud
Perform data cleaning - removing punctuation
Perform data cleaning - remove stop words
Perform Count Vectorization (Tokenization)
Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
NLP: Twitter Sentiment Analysis at Coursera Faculty details
NLP: Twitter Sentiment Analysis
at Coursera
Ryan Ahmed
Ryan Ahmed is a professor who is passionate about education and technology. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 70,000+ students globally.
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NLP: Twitter Sentiment Analysis at Coursera Students Ratings & Reviews
NLP: Twitter Sentiment Analysis
at Coursera
5/5
1 Rating- 4-51
K
Karteek Menda
NLP: Twitter Sentiment Analysis
Offered by Coursera
5
Other: Definitely this is one of the best courses as well. Analyzing the sentiment on twitter data feed is super cool and tough to handle. But this course has given a good level overview of how to handle the twitter data and analyze the sentiment.
Reviewed on 26 Sep 2021Read More
View 1 Review
NLP: Twitter Sentiment Analysis
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