Purposes

Generating data from Twitter, also known as Company X, and applying Stanza sentiment analysis. Keywords for query: 1. "#anzbank" 2. "#anz bank"

Steps

Scraping data about "#anzbank" and "#anz bank" from Twitter by using twscrape library: https://github.com/vladkens/twscrape. twscrape_anz.py Notes: I collected the tweets on 4th September, 2023. Twitter may forbid the usage of twscrape library in the future.
Preprocessing data: preprocess.ipynb
Sentiment analysis by Stanza: stanza_analysis.ipynb
Visualizing: visualize.ipynb
Word frequency analysis: frequency.ipynb

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
__pycache__		__pycache__
.DS_Store		.DS_Store
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
frequency.ipynb		frequency.ipynb
preprocess.ipynb		preprocess.ipynb
scrape_twitter.ipynb		scrape_twitter.ipynb
snscrape_twitter.ipynb		snscrape_twitter.ipynb
stanza_analysis.ipynb		stanza_analysis.ipynb
twitter.ipynb		twitter.ipynb
twscrape_anz.py		twscrape_anz.py
visualize.ipynb		visualize.ipynb