Zambian Language Trainer Window
Curate local language datasets and trigger asynchronous machine learning training
Multilingual
Select Target Zambian Dialect to Manage & Train:
πΏπ²
Unified (All)
πΏπ²
Chibemba
πΏπ²
Chinyanja
πΏπ²
Chitonga
πΏπ²
Silozi
π¬π§
English
π
Mixed/General
Local Dataset Inspector: All
25506 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| @SteveStockmanTX hey turd cutter...stop tweeting juvenile shit and DO YOUR JOB....#idiot teabagger | Mixed | Abusive | User Added |
| @SteveStockmanTX hes just a friggin idiot that can say anything and his redneck teabagger constituants buy it. They love stupid people | Mixed | Hate Speech | User Added |
| @SteveStockmanTX didnt you propose the brilliant idea of college students packing heat? You are a savant! #dumbass teabaggers | Mixed | Abusive | User Added |
| @SteveStockmanTX bullshit..i guess the poor have all the money..tax money movers at same rate as working people..you teabaggers are traitors | Mixed | Abusive | User Added |
| @SteveStockmanTX @toddstarnes oh I see. Part of a giant govt take over eh. Stockboy you are a joke of a representative. #dumb teabagger | Mixed | Abusive | User Added |
| @SteveMartinToGo careful, they might try to queer ya! | Mixed | Abusive | User Added |
| @Sterm26 @RealJamesWoods Just like when I call someone a nigger! It's not because they're black, it's about how they act. LIKE A NIGGER! | Mixed | Hate Speech | User Added |
| @StephyRae7 where have you been hoe | Mixed | Abusive | User Added |
| @StephyRae7 is the biggest faggot in the world | Mixed | Hate Speech | User Added |
| @StephyRae7 hii fag. :) | Mixed | Abusive | User Added |
| @StephyRae7 faggot. | Mixed | Hate Speech | User Added |
| @StephyRae7 Will NEVER happen faggot. Got complemented on it today at golf by @GabrielaAngela4 several times. ;) | Mixed | Abusive | 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