mirror of
https://github.com/warmbly/warmbly.git
synced 2026-08-26 00:00:41 +00:00
Matthew Meszaros
110 lines
2.8 KiB
Go
110 lines
2.8 KiB
Go
package replyclassify
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import "strings"
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// classifyLexicon is Layer 2: a deterministic, offline keyword scan over the
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// subject + body. It returns (result, true) only on a CLEAR signal; ambiguous
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// text returns (zero, false) so the optional model layer (or "unknown") decides.
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//
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// Order matters and encodes priority:
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// 1. Compliance words (unsubscribe / stop / remove me / take me off) ALWAYS win.
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// Treating these as anything other than an unsubscribe request is a
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// compliance risk, so they short-circuit before sentiment.
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// 2. Clear interest phrases => positive.
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// 3. Clear rejection phrases => negative.
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func classifyLexicon(in Input) (Result, bool) {
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text := strings.ToLower(strings.TrimSpace(in.Subject + "\n" + in.BodyText))
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if text == "" {
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return Result{}, false
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}
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// 1. Compliance / opt-out (highest priority).
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for _, kw := range unsubscribeKeywords {
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if strings.Contains(text, kw) {
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return Result{Class: ClassUnsubscribe, Confidence: 0.9, Source: SourceLexicon}, true
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}
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}
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// 2. Clear interest => positive.
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for _, kw := range positiveKeywords {
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if strings.Contains(text, kw) {
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return Result{Class: ClassPositive, Confidence: 0.8, Source: SourceLexicon}, true
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}
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}
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// 3. Clear rejection => negative.
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for _, kw := range negativeKeywords {
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if strings.Contains(text, kw) {
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return Result{Class: ClassNegative, Confidence: 0.8, Source: SourceLexicon}, true
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}
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}
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return Result{}, false
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}
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// unsubscribeKeywords are explicit opt-out requests. Compliance-first: any of
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// these short-circuits to "unsubscribe" before sentiment is considered.
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var unsubscribeKeywords = []string{
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"unsubscribe",
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"opt out",
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"opt-out",
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"remove me",
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"take me off",
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"stop emailing",
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"stop contacting",
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"do not contact",
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"don't contact",
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"do not email",
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"don't email",
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"please stop",
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}
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// positiveKeywords are clear buying / interest signals. Kept conservative so the
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// deterministic layer only fires on unambiguous intent; nuance is left to the
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// model layer.
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var positiveKeywords = []string{
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"interested",
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"sounds good",
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"sounds great",
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"let's chat",
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"lets chat",
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"let's talk",
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"lets talk",
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"happy to chat",
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"happy to talk",
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"set up a call",
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"book a call",
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"schedule a call",
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"schedule a demo",
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"book a demo",
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"send me more",
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"tell me more",
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"would love to",
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"count me in",
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"sign me up",
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"how much does it cost",
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"what's the pricing",
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"whats the pricing",
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"send pricing",
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}
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// negativeKeywords are clear rejection signals. "not interested" is the canonical
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// cold-outreach brush-off.
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var negativeKeywords = []string{
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"not interested",
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"no thanks",
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"no thank you",
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"not a fit",
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"not the right",
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"not relevant",
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"no need",
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"we already have",
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"we have a solution",
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"not looking",
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"wrong person",
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"wrong contact",
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"please don't",
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"leave me alone",
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"go away",
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}
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