NLP: Twitter Sentiment Analysis
In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. 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. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
عن
In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. 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. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.الوحدات
Twitter Sentiment Analysis
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Assignment
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Assignment
- Graded Quiz: Test your Project Understanding
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Labs
- NLP: Twitter Sentiment Analysis
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Readings
- Project-based Course Overview
Auto Summary
Dive into the world of Data Science & AI with "NLP: Twitter Sentiment Analysis" on Coursera. Led by expert instructors, this beginner-level, hands-on project teaches you to train a Naive Bayes classifier to analyze and predict sentiment from Twitter tweets, ideal for companies looking to automate customer sentiment analysis. The course spans 120 minutes and is available for free, primarily benefiting learners in North America. Join now to enhance your data science skills!
Ryan Ahmed