Machine Learning & Twitter Sentiment Analysis in Python

Course Description:

Sentiment Analysis or Opinion Mining, is a form of Neuro-linguistic Programming which consists of extracting subjective information, like positive/negative, like/dislike, and emotional reactions. This Machine Learning – Twitter Sentiment Analysis in Python course uses real examples of sentiment analysis, so learners can understand it’s important, and how to use it to solve problems. During the course learners will undertake a project on Twitter sentiment analysis, and will understand all the fundamental elements of sentiment analysis in Python.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

What skills will I gain?

• Design and Implement a sentiment analysis measurement system in Python
• Grasp the theory underlying sentiment analysis, and its relation to binary classification
• Identify use-cases for sentiment analysis
• Learn about Sentiment Lexicons, Regular Expressions & Twitter API

Meet the Instructor:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

• Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
• Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
• Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
• Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum