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REST API using Flask in Python | Build a Sentiment Analysis API in Python using NLTK and Flask
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In this video, learn about APIs and create a REST API using Flask in Python. We will build a Sentiment Analysis API using Flask in this project.
Sentiment Analysis is used to classify a text into Positive and Negative Sentiment, which will be done through the NLTK library.
We explore the REST API using GET and POST HTTP Functions for the Sentiment Analysis API in Python.
Contents-
00:00 - Intro Theme
00:08- Introduction
00:20 - What is an API
01:05 - API Examples
01:50 - HTTP Functions
02:28 - GET vs POST
03:28 - API Demo
06:00 - API Code
13:50 - Result and Demo
15:19 - Thank You and Subscribe
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Sentiment Analysis is used to classify a text into Positive and Negative Sentiment, which will be done through the NLTK library.
We explore the REST API using GET and POST HTTP Functions for the Sentiment Analysis API in Python.
Contents-
00:00 - Intro Theme
00:08- Introduction
00:20 - What is an API
01:05 - API Examples
01:50 - HTTP Functions
02:28 - GET vs POST
03:28 - API Demo
06:00 - API Code
13:50 - Result and Demo
15:19 - Thank You and Subscribe
Follow Penguin Coders on Social Media -
Follow me on Social Media -
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