| corynissen/foodborne_classifier |
235 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
R |
| The classifier used in the http://foodborne.smartchicagoapps.org/ application. |
| mperham/bayes_motel |
188 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Ruby |
| Multi-variate Bayesian classification engine |
| hmason/tc |
167 |
|
0 |
0 |
over 15 years ago |
0 |
|
2 |
|
Python |
| A command-line twitter client with smart filtering and statistical classification |
| CounteractIO/counteract |
72 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Brightening days through ML |
| mkearney/tweetbotornot2 |
37 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
other |
R |
| 🔍🐦🤖 Detect Twitter Bots! |
| pedrovgs/Roma |
33 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
Scala |
| Spark project written in Scala used to perform real time sentiment analysis on top of Twitter's streaming API |
| FernandoLpz/Text-Classification-LSTMs-PyTorch |
31 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
|
Python |
| The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle. |
| anshulwadhawan/BERT_for_sequence_classification_COVID |
25 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| ziqizhang/chase |
22 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Python |
| Cyber Hate detection And tracking on Social mEdia |
| peterwilliams97/twitter_bot |
17 |
|
0 |
0 |
over 13 years ago |
0 |
|
0 |
|
Python |
| A bot that offers sympathy to people who have suffered paper cuts. |
