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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
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Incident Sentiment Detector (No AI, Pure JavaScript)
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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.
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Useful for support teams to auto-tag sentiment and analyze user frustration or satisfaction trends without expensive integrations.
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🚀 Features
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✅ 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
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🧩 Architecture Overview
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The solution consists of two main scripts:
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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
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Create a new field on the Incident table:
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Name: u_sentiment
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Type: Choice
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Choices: Positive, Neutral, Negative

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