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项目作者： richardcsuwandi

项目描述 ：
A data-driven web app that visualizes various sentiment and exploratory analysis on tweets about US airlines.
高级语言： Python
项目地址: git://github.com/richardcsuwandi/airline-sentiment.git
创建时间： 2020-06-19T08:58:46Z
项目社区：https://github.com/richardcsuwandi/airline-sentiment
开源协议：
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Sentiment Analysis on Tweets about US Airlines

This project is one of my machine learning and data-driven web apps made using Streamlit.
The goal of this project is to visualize various sentiment and exploratory analysis on tweets about US airlines.

View this app in action here:

Streamlit

Demo

Here are some demos on how to use the app:
Demo 1
Demo 2
Demo 3

About the Dataset

The dataset was scraped from Twitter in February 2015 and contributors were first asked to classify positive, negative, and neutral tweets,
followed by categorizing negative reasons (such as “late flight” or “rude service”).
More details about the dataset can be found here

References

This project was inspired from Coursera’s: “Create Interactive Dashboards with Streamlit and Python” guided project.