YoVDO

NLP: Twitter Sentiment Analysis

Offered By: Coursera Project Network via Coursera

Tags

Natural Language Processing (NLP) Courses Sentiment Analysis Courses Naive Bayes Classifier Courses

Course Description

Overview

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.

Syllabus

  • 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.

Taught by

Ryan Ahmed

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