© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
S. RaghavendraBeginner's Guide to Streamlit with Python https://doi.org/10.1007/978-1-4842-8983-9_9

9. Natural Language Processing

Sujay Raghavendra1  
(1)
Dharwad, Karnataka, India
 

In this chapter, we will develop a natural language processing (NLP) application from scratch. This application will demonstrate how it works as well as give you the complete instructions for developing an application using Streamlit and thereafter deploying on the Heroku platform.

NLP App Creation

In this section, we will create an NLP application that will predict whether sentiments are positive, negative, or neutral. In this application, we will take the user input and check the ...

Get Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.