Sentiment Analysis of ChatGPT using Webscraping in Python | Live Bootcamp | IvyProSchool
Wonder how Machines understand texts? Well, the answer is Natural Language Processing, the branch of AI that gives machines the ability to understand texts.
In this bootcamp session, you will learn some of the applications of Natural Language Processing like Sentiment Analysis, Bag of Words, and Word Cloud on the latest tweets of ChatGPT3. We have used Python to fetch tweets from Twitter using API and implemented the applications of NLP in Python.
00:00 Introduction
02:12 What is ChatGPT?
04:15 ChatGPT in layman's term
5:35 What are GAN models?
12:12 How to use ChatGPT?
14:12 What is Sentiment Analysis?
16:40 What is the code to build a Sentiment Analysis Model?
19:41 Is ChatGTP necessary?
20:49 How Is ChatGTP3 different from Alexa?
22:09 Will ChatGPT replace the need for Python developers?
24:09 How is ChatGPT different from search engines?
27:16 Application of Sentiment Analysis
29:23 Why is Sentiment Analysis important?
29:53 How does Sentiment Analysis work?
32:39 What is Bag of Words (BoW)?
33:48 Tweet Data Analysis
40:18 Sentiment Analysis code in Python
43:53 Wordcloud Analysis
51:17 Conclusion
#sentimentanalysis #webscrapinginpython #chatgpt
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