Incident Sentiment Detector (No AI, Pure JavaScript)#2259
Merged
ravichandra1998g merged 3 commits intoServiceNowDevProgram:mainfrom Oct 18, 2025
Merged
Incident Sentiment Detector (No AI, Pure JavaScript)#2259ravichandra1998g merged 3 commits intoServiceNowDevProgram:mainfrom
ravichandra1998g merged 3 commits intoServiceNowDevProgram:mainfrom
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Incident Sentiment Detector (No AI, Pure JavaScript) A lightweight ServiceNow utility that detects sentiment (Positive / Negative / Neutral) of an Incident’s short description or comments using simple keyword matching — no AI APIs or external libraries required. Useful for support teams to auto-tag sentiment and analyze user frustration or satisfaction trends without expensive integrations. 🚀 Features ✅ Detects sentiment directly inside ServiceNow ✅ Works without external APIs or ML models ✅ Instant classification on form update ✅ Adds detected sentiment to a custom field (u_sentiment) ✅ Simple to extend — just add more positive/negative keywords 🧩 Architecture Overview The solution consists of two main scripts: Component Type Purpose SentimentAnalyzer Script Include Processes text and returns sentiment Client Script (onChange) Client Script Calls SentimentAnalyzer via GlideAjax on short description change 🧱 Setup Instructions 1️⃣ Create Custom Field Create a new field on the Incident table: Name: u_sentiment Type: Choice Choices: Positive, Neutral, Negative
var SentimentAnalyzer = Class.create();
SentimentAnalyzer.prototype = Object.extendsObject(AbstractAjaxProcessor, {
getSentiment: function() {
var text = (this.getParameter('sysparm_text') || '').toLowerCase();
var positive = ['thanks', 'great', 'resolved', 'appreciate'];
var negative = ['issue', 'error', 'not working', 'fail', 'problem'];
var score = 0;
positive.forEach(function(word) { if (text.includes(word)) score++; });
negative.forEach(function(word) { if (text.includes(word)) score--; });
if (score > 0) return 'Positive';
if (score < 0) return 'Negative';
return 'Neutral';
}
});
ravichandra1998g
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Oct 18, 2025
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ravichandra1998g
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looks good to me.
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PR Description:
A lightweight ServiceNow utility that detects sentiment (Positive / Negative / Neutral) of an Incident’s short description or comments using simple keyword matching — no AI APIs or external libraries required.
Useful for support teams to auto-tag sentiment and analyze user frustration or satisfaction trends without expensive integrations.
🚀 Features
✅ Detects sentiment directly inside ServiceNow ✅ Works without external APIs or ML models ✅ Instant classification on form update ✅ Adds detected sentiment to a custom field (u_sentiment) ✅ Simple to extend — just add more positive/negative keywords
🧩 Architecture Overview
The solution consists of two main scripts:
Component Type Purpose SentimentAnalyzer Script Include Processes text and returns sentiment Client Script (onChange) Client Script Calls SentimentAnalyzer via GlideAjax on short description change 🧱 Setup Instructions 1️⃣ Create Custom Field
Create a new field on the Incident table:
Name: u_sentiment
Type: Choice
Choices: Positive, Neutral, Negative
Pull Request Checklist
Overview
Code Quality
Repository Structure Compliance
Core ServiceNow APIs/Server-Side Components/Client-Side Components/Modern Development/Integration/Specialized Areas/Documentation
Restrictions