Text classifiers
Spam model
Text classifiers
Spam model
Model key:
quality
Detect spam and insubstantial text, etc.
Response Example:
{
"label": "SPAM",
"score": 0.9337343,
"label_scores": {
"SPAM": 0.9337343,
"INCOHERENT": 0.89032257,
"UNSUBSTANTIAL": 0.68944305,
"NEUTRAL": 0.0662657
}
}
Labels
| Label | Description |
|---|---|
| UNSUBSTANTIAL | Trival or short content. |
| INCOHERENT | Difficult to understand and nonsensical. |
| SPAM | Repetitive, irrelevant content trying to make you visit a website eg. |
| NEUTRAL | The text is relativey high quality. |
Supported languages
This model works in the following languages:
- English
en - Spanish
es - French
fr - German
de - Italian
it - Portuguese
pt - Russian
ru - Japanese
ja - Indonesian
id - Chinese
zh - Dutch
nl - Polish
pl - Swedish
sv
The model might work on other launguages we haven't tested. Feel free to try it on launguages that are not listed above and provide us with feedback.
Limitations
This model does not have any API limitations.