Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
🇿🇲
Unified (All)
🇿🇲
Chibemba
🇿🇲
Chinyanja
🇿🇲
Chitonga
🇿🇲
Silozi
🇬🇧
English
🌐
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| #teabagger state like mississippi opposed to minimum wage, child labor laws, unions, is pro-scab, sweatshop work - pretty much #SLAVERY. | Mixed | Safe | User Added |
| #tbt when i took my likkle monkey jimmys http://t.co/LIK3xpZ6eZ | Mixed | Safe | User Added |
| #tbt to when i used to be good at rapping...now ima bitch 😞🔫 http://t.co/6RV4jiJpRD | Mixed | Abusive | User Added |
| #tbt my precious gook baby 😍😍😍😍😍😍 @outtapocketjuju http://t.co/2QJLJj6tK5 | Mixed | Safe | User Added |
| #tbt me being a bad bitch http://t.co/Jc4bKbe8Vt | Mixed | Abusive | User Added |
| #stateoftheunion would last 15mins if they let the President talk all that standing up clapping is for the birds | Mixed | Safe | User Added |
| #southcarolina has a highschool graduation rate near 50% and that's why they have so many uninformed #teabaggers #morningjoe | Mixed | Safe | User Added |
| #rejectedpeanutsspecials Its The Grape Crackhead, Charlie Brown! | Mixed | Safe | User Added |
| #redneck tow truck. #johndeere #4455 #america https://t.co/iFInqwVRad | Mixed | Safe | User Added |
| #realtalk if you a hoe an try to get serious with someone don't expect to be anything more then a piece of meat to them | Mixed | Abusive | User Added |
| #real RT @ImTooMuch: RT @d_lac: RT @WeavusChrist: RT @Tone314: Don't tell me if my gf was a hoe before me, if I'm happy. | Mixed | Abusive | User Added |
| #portlandia #putabirdonit RT @mightymouse105: The Xbox One would be so much cooler if they put a bird on it | Mixed | Safe | User Added |
Add Local Phrase
Batch Import CSV
CSV OnlyUpload a custom CSV file to bulk import training data across all languages. Required columns: phrase (or text), category (0=Hate, 1=Abusive, 2=Safe), and optionally language.
Model Training Control
20%
Evaluation Results
Trained Algorithm:
Decision Tree
ACCURACY
F1 SCORE
Confusion Matrix Grid
46
0
0
2
41
4
0
0
47
Columns: Predicted
Rows: Actual
Algorithm Accuracy Graph