This project represents a web app, created using Streamlit, for the Text Analytics project. The goal of the project is to visualize various types of analysis on US Airlines here
-
Notifications
You must be signed in to change notification settings - Fork 0
This sentiment was performed on Twitter to determine overall opinion on US Airlines. Companies and brands often utilize sentiment analysis to monitor brand reputation across social media platforms or across the web as a whole. An application of Data Science/Machine Learning in the Aviation Industry.
Gift-Ojeabulu/Twitter-SentimentAirline-Analysis
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This sentiment was performed on Twitter to determine overall opinion on US Airlines. Companies and brands often utilize sentiment analysis to monitor brand reputation across social media platforms or across the web as a whole. An application of Data Science/Machine Learning in the Aviation Industry.