Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)
- 3.5 hours on-demand video
- 13 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- 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
- No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to perform the coding exercise and understand the provided source code
Note: This course is a subset of our 20+ hour course 'From 0 to 1: Machine Learning & Natural Language Processing' so please don't sign up for both:-)
Sentiment Analysis (or) Opinion Mining is a field of NLP that deals with extracting subjective information (positive/negative, like/dislike, emotions).
- Learn why it's useful and how to approach the problem: Both Rule-Based and ML-Based approaches.
- The details are really important - training data and feature extraction are critical. Sentiment Lexicons provide us with lists of words in different sentiment categories that we can use for building our feature set.
- All this is in the run up to a serious project to perform Twitter Sentiment Analysis. We'll spend some time on Regular Expressions which are pretty handy to know as we'll see in our code-along.
- Why it's useful,
- Approaches to solving - Rule-Based , ML-Based
- Training & Feature Extraction
- Sentiment Lexicons
- Regular Expressions
- Twitter API
- Sentiment Analysis of Tweets with Python
- Nope! Please don't enroll for this class if you have already enrolled for our 21-hour course 'From 0 to 1: Machine Learning and NLP in Python'
- Yep! Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
- Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
- Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
- Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
As people spend more and more time on the internet, and the influence of social media explodes, knowing what your customers are saying about you online, becomes crucial. Sentiment Analysis comes in handy here - This is an NLP problem that can be approached in multiple ways. We examine a couple of rule based approaches, one of which has become standard fare (VADER)