Hashtag & Mention Extractor for ServiceNow v2 (#2088)

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Author: ivan-betev

Specialized Areas/Regular Expressions/Hashtag & Mention Extractor/README.md

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+# Hashtag & Mention Extractor for ServiceNow
+
+A simple yet useful **ServiceNow Background Script** that extracts all hashtags (`#example`) and mentions (`@user`) from any text input using regular expressions.
+
+---
+
+### 💡 Example Use Cases
+- Automatically identify hashtags and mentions in **incident comments**, **knowledge articles**, or **survey feedback**.
+- Extract tags or mentions from user input in **Catalog Items/Record Producers** to populate hidden variables or drive logic.
+
+---
+### 🚀 How to Run
+1. In your ServiceNow instance, navigate to **System Definition → Scripts – Background**.  
+2. Paste the script from this repository and adjust it according to your needs.  
+3. Click **Run Script**.  
+
+---
+
+### 📦 Reusability
+The logic is **self-contained** within a single function block - no dependencies or external calls.  
+You can easily **copy and adjust it** to fit different contexts:
+- Use it inside a **Business Rule**, **Script Include**, or **Flow Action Script** (see additional instructions below).  
+- Replace the sample `demoData` with a field value (e.g., `current.description`) to analyze the data.  
+- Adjust the regex to detect other patterns (emails, incident reference, etc.). See comments in the code for the additional examples.  
+
+---
+
+### 🔧 Possible Extensions
+- Parse table data (`sys_journal_field`, `kb_knowledge`) instead of static text.  
+- Store extracted tags in a custom table for analytics.  
+
+---
+
+### ℹ️ Additional Instructions:
+#### Use in Script Include
+
+1. Go to **Script Includes** in the Application Navigator.  
+2. Click **New**, and name it (e.g., `TagExtractorUtils`).  
+3. Set the following options:  
+   - **Client Callable**: `false`  
+   - **Accessible from**: `All application scopes`  
+4. Paste this code:
+
+```javascript
+var TagExtractorUtils = Class.create();
+TagExtractorUtils.prototype = {
+    initialize: function () {},
+
+    extract: function (text) {
+        var result = {
+            hashtags: text.match(/#[A-Za-z0-9_]+/g),
+            mentions: text.match(/@[A-Za-z0-9_]+/g)
+        };
+        return result;
+    },
+
+    type: 'TagExtractorUtils'
+};
+```
+5. Use it as any other script include.
+
+#### Use in Business Rule with a couple of custom text fields and previously created script include
+
+1. Go to **Business Rules** in the Application Navigator.  
+2. Click **New**, choose a table (e.g., `sc_task`, `incident`).  
+3. Set **When** to `before`, `after`, or `async` (usually `async`).  
+4. In the **Script** section, call your tag-extracting logic:
+
+```javascript
+(function executeRule(current, previous /*null when async*/) {
+    var text = current.short_description + ' ' + current.description;
+    var tags = new TagExtractorUtils().extract(text);
+
+    current.u_hashtags = tags.hashtags.join(', ');
+    current.u_mentions = tags.mentions.join(', ');
+
+})(current, previous);
+```
+#### Use in Flow Action Script and previously created script include
+
+1. Go to **Flow Designer > Action** and click **New Action**.  
+2. Give it a name like `Extract Tags from Text`.  
+3. Add an **Input** (e.g., `input_text` of type String).  
+4. Add a **Script step**, then paste the script there:
+
+```javascript
+(function execute(inputs, outputs) {
+    var text = inputs.input_text || '';
+    var tags = new TagExtractorUtils().extract(text);
+
+    outputs.hashtags = tags.hashtags.join(', ');
+    outputs.mentions = tags.mentions.join(', ');
+})(inputs, outputs);
+```
+5. Use this **Action** in your flow to extract tags by passing the text to it as a parameter.
+
+<sub>🤖 This contribution was partially created with the help of AI.</sub>

Specialized Areas/Regular Expressions/Hashtag & Mention Extractor/script.js

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+(function() {
+
+    var demoData = "Quick test for hashtag and mention extraction in ServiceNow. " +
+                   "Let's make sure it catches #Hack4Good #ServiceNow #regex and mentions like @ivan and @servicenow.";
+
+    // ---------------------------------------------
+    // Useful regex patterns (for future extension):
+    // - Hashtags:        /#[A-Za-z0-9_]+/g
+    // - Mentions:        /@[A-Za-z0-9_]+/g
+    // - Emails:          /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g
+    // - Ticket refs:     /INC\d{7}/g (e.g., INC0012345)
+    // ---------------------------------------------
+
+    // Separate regex patterns for clarity
+    var hashtagRegex = /#[A-Za-z0-9_]+/g;
+    var mentionRegex = /@[A-Za-z0-9_]+/g;
+    
+    // Match both types
+    var hashtags = demoData.match(hashtagRegex);
+    var mentions = demoData.match(mentionRegex);
+
+    if (hashtags.length > 0) {
+        gs.info('Found ' + hashtags.length + ' hashtags: ' + hashtags.join(', '));
+    } else {
+        gs.info('No hashtags found.');
+    }
+
+    if (mentions.length > 0) {
+        gs.info('Found ' + mentions.length + ' mentions: ' + mentions.join(', '));
+    } else {
+        gs.info('No mentions found.');
+    }
+
+})();