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
25504 Records| Phrase Text | Dialect | Category Label | Source |
|---|---|---|---|
| RT @usmntHistory: On this #USMNT day 2014, the Yanks advanced out of the #GroupOfDeath despite a 0-1 loss to #GER. | Mixed | Safe | User Added |
| RT @useemitch: 1, 2, 3, 4... how many niggers are in my store, I knooooooow your stealing! 😂😂😂 | Mixed | Hate Speech | User Added |
| RT @urinnerdevil: ur typical twitter hoe http://t.co/YJE9LUnWVp | Mixed | Abusive | User Added |
| RT @urbandictionary: @The2kGod nigger: A fully grown niglet http://t.co/HJKlNHDrWT http://t.co/x6y5XKKPMq | Mixed | Abusive | User Added |
| RT @uncledaddy69: @weakenednachos California's biggest retards. Don't forget about HOLY who just released an amazing EP. | Mixed | Hate Speech | User Added |
| RT @uncle_palacios: “@SheeeRatchet: "bitch ass nigga square up" 😂😂 http://t.co/UHkKKwsrDL” @CaelanG15 | Mixed | Abusive | User Added |
| RT @unanswerdverses: what bitch tried to kill Kendrick Lamar's vibe? | Mixed | Abusive | User Added |
| RT @unanswerdverses: did that bitch ever get out of ludacris's way? | Mixed | Abusive | User Added |
| RT @uhfrocircus: This is the life nigger | Mixed | Abusive | User Added |
| RT @ugIycutie: one, two, three, four, how many niggers are in my store? | Mixed | Hate Speech | User Added |
| RT @uMadddt: Claw that ass! @CoreysTweetnAss: when u see that bitch who was talkin shit on twitter in public... http://t.co/yyQ2d6JujD | Mixed | Abusive | User Added |
| RT @uMadddt: #FixItJesus 🙌 “@MyAssholePops: This bitch is the nugget filling at McDonald's http://t.co/QBdbMsHjG7” | 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