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Machine Learning & Twitter Sentiment Analysis in Python

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381 STUDENTS
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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

What are the requirements?

  • You must be 16 or over
  • You should have a basic understanding of English, Maths and ICT
  • You will need a computer or tablet with internet connection (or access to one)

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

How will I be assessed?

  • You will have one assignment. Pass mark is 65%.
  • You will only need to pay £19 for assessment.
  • You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.

What Certification am I going to receive?

Those who successfully pass this course will be awarded a Machine Learning – Twitter Sentiment Analysis in Python certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.

What careers can I get with this qualification?

Once you have completed this Machine Learning – Twitter Sentiment Analysis in Python course you will have desirable skills. You could go on to further study of machine learning and Python, or could gain entry level employment in this area. These roles often command a high salary, for example, the average salary of a Data Scientist in the UK is £38,455 (payscale.com). When you complete this Machine Learning – Twitter Sentiment Analysis in Python, you could fulfil any of the following roles:

  • Developer
  • Data Scientist
  • Software Engineer
  • Senior Data Scientist
  • Java Developer
  • Python Developer

Key Features

Gain an accredited UK qualification

Access to excellent quality study materials

Learners will be eligible for TOTUM Discount Card

Personalized learning experience

One year’s access to the course

Support by phone, live chat, and email

Course Curriculum Total Units : 13
1: What are You Feeling Like?
1. Introduction: You, This Course & Us!
2. Sentiment Analysis: What’s all the fuss about?
3. Machine Learning Solutions for Sentiment Analysis: the devil is in the details
4. Sentiment Lexicons (with an introduction to WordNet and SentiWordNet)
5. Installing Python – Anaconda and Pip
6. Back to Basics: Numpy in Python
7. Back to Basics: Numpy & Scipy in Python
8. Regular Expressions
9. Regular Expressions in Python
10. Put it to work: Twitter Sentiment Analysis
11. Twitter Sentiment Analysis: Work the API
12. Twitter Sentiment Analysis: Regular Expressions for Preprocessing
13. Twitter Sentiment Analysis: Naive Bayes, SVM & SentiWordNet
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