The Spam Detection API helps you identify unwanted or unsolicited content across various channels, including emails, comments, reviews, and form submissions. Using advanced machine learning algorithms, it analyzes content to distinguish between legitimate messages and spam with high accuracy.Key Benefits:
High-accuracy spam detection across multiple content types
Detailed confidence scores with granular classification
Specialized detection for different spam categories
Low false positive rates for minimal legitimate content filtering
When implementing spam detection, consider these edge cases and best practices:
Short Messages: Very brief messages may not provide enough context for accurate detection. Consider implementing length thresholds before sending content for analysis.
False Positives: Some legitimate messages may occasionally be flagged as spam. Consider implementing a scoring threshold appropriate to your use case rather than relying solely on the binary is_spam value.
Bulk Processing: When processing large volumes of content, use the array input format to improve efficiency.
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// Example: Processing multiple messages efficientlyasync function bulkSpamCheck(messages) { // Group messages in batches of 100 const results = []; for (let i = 0; i < messages.length; i += 100) { const batch = messages.slice(i, Math.min(i + 100, messages.length)); const response = await jigsaw.validate.spamcheck({ text: batch }); if (response.success) { // Handle batch results const batchResults = Array.isArray(response.check) ? response.check : [response.check]; results.push(...batchResults.map((check, index) => ({ message: batch[index], isSpam: check.is_spam, score: check.score }))); } } return results;}