A covid-19 mask sentiment analysis inspired by a conflict of information presented online and offline regarding mask effectiveness and if one should wear one. This is an active tracking project and I built a publicly accessible app for monitoring the data.
You can visit the app here.
You can also read more about the project on Medium.
├── LICENSE
├── README.md
├── data
│ ├── processed <- Processed historical tweet data (1/1 to 5/1, 2020)
│ └── raw <- Raw historical data.
│
├── models <- Contains trained Kmeans Cluster Model and specialized word2Vec model.
│
├── notebooks <- Majority of the code is here, I may add some more steps in "Historical Data Analysis" as it doesn't fully reflect all the steps I have taken.
│
├── presentation <- presentation made for this project.
│
└── requirements.txt <- The requirements file for reproducing the analysis environment.
Live graph tutourial by Sentex on Youtube
Thank you.