Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

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Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python). Use Python and the Twitter API to build your own sentiment analyzer!

20,00  10,00 

The name of this course is Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python). The knowledge you will get with this indescribable online course is astonishing. Use Python and the Twitter API to build your own sentiment analyzer!.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Loony Corn, one of the very best experts in this field.

Description of this course: Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Course Description 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.Sentiment Analysis: Why it’s useful, Approaches to solving – Rule-Based , ML-Based Training & Feature ExtractionSentiment LexiconsRegular ExpressionsTwitter APISentiment Analysis of Tweets with Python

Requirements of this course: Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

What are the requirements? 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

What will you learn in this course: Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)?

What am I going to get from this course? 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

Target audience of this course: Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)

Who is the target audience? 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