Cyberbully Project [Table 21 D]

Inspiration

What it does

Dashboard for machine learning-based detection of cyber bully activity on Twitter

How we built it

Examined approaches to dialogue representation in the context of cyber bullying detection:

• bag of words n-gram, skip-gram
• word2vec + emoji2vec -> implemented earlier work to extend glove & jointly learn robust emoji + word embeddings
• Classification with svm l1/l2 regularization
  
• Best results achieved with ensemble of logistic regression, svm, random forest classifier

Promising results:

• Classification accuracy: 78%
• Precision: 0.91
• Recall: 0.86
• F1-score: 0.80

Built proof of concept dashboard to present live overview of cyberbullying across twitter.

• Topic modeling,
• NRC Word-Emotion

Challenges we ran into

Had trouble with designing the dashboard

Accomplishments that we're proud of

What we learned

What's next for Cyber Bully Project

• Improve model
• Dialogue representation
• social network graph analysis
• Improve dashboard

Built With

• django
• machine-learning
• python
• sklearn
• twitter