Inspiration
To be able provide tool to help k12 students fight against cyber bullying, and to prevent them become bullying themselves
What it does
To protect teenage people from direct messaging cyber bullying on facebook
How we built it
We build Cyber Goose as Google Chrome extension with javascript. For the text analysis part, we make use of the api provided by Microsoft Text Analysis technology checking sentiment.
Challenges we ran into
The way of loading script in chrome extension is usually loading script after the page is loaded which will delay harassment message from removing.
Accomplishments that we're proud of
Be able to block the harassment message.
What we learned
The development experience of chrome extension. And the advantages and challenges that Natural Language Processing technology. How cyber bullying function works.
What's next for Cyber Goose
Built With
- chrome
- javascript
- jquery
- microsoft-text-analysis
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