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

Related Courses

Text Mining and Analytics
University of Illinois at Urbana-Champaign via Coursera
Introduction to Natural Language Processing
University of Michigan via Coursera
Enabling Technologies for Data Science and Analytics: The Internet of Things
Columbia University via edX
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
moocTLH: Nuevos retos en las tecnologías del lenguaje humano
Universidad de Alicante via Miríadax