Kaggle competition - Natural Language Processing with Disaster Tweets
Attempt 1: Use Keyword and Location as feature
- Keyword Preprocessing: Remove URL encoding
- Location Preprocessing: Remove the Nation/State, only keep the first part of location information
- Results:
- Kaggle Leaderboard: 788/868
Attempt 2: Use Tweet and Location as feature
Model Name |
Paper |
Validation Accuracy |
Test Accuracy(Kaggle Leaderboard) |
bertweet-base |
BERTweet |
84.17% |
84.80% |
bertweet-covid19-base-uncased |
BERTweet |
84.24% |
82.08% |
bertweet-large |
BERTweet |
84.36% |
82.27% |
twitter-roberta-base |
TWEETEVAL |
83.44% |
81.77% |
- Kaggle Leaderboard: 48/868