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elastique-sentiment-analyzer

Classify sentiment and extract topic clusters from customer feedback exports.

Updated Aug 27, 2026
Search Tags:#insights#customer-feedback#sentiment-analysis#topic-extraction#content-briefs#gorgias
One-click install
npx skills add https://github.com/etacCAD/elastique-landing-pages --skill elastique-sentiment-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: elastique-sentiment-analyzer
Source: https://github.com/etacCAD/elastique-landing-pages/tree/main/.agent/skills/elastique-sentiment-analyzer
Command: npx skills add https://github.com/etacCAD/elastique-landing-pages --skill elastique-sentiment-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze customer support tickets, reviews, and social mentions to extract sentiment, identify topic trends, and generate actionable content recommendations to inform marketing, product, and CX decisions.

Core Features & Use Cases

  • Ingest data from Gorgias exports, product reviews, and social mentions
  • Perform sentiment classification with defined score ranges and topic extraction into clusters
  • Generate insights reports, content briefs, and brand voice audits for CX optimization

Quick Start

Upload your Gorgias CSV export and related feedback sources to generate an actionable sentiment report and content recommendations.

Frequently Asked Questions about elastique-sentiment-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze sentiment and extract topics from Gorgias support ticket exports?▼

To analyze sentiment from Gorgias support tickets, ingest your CSV exports into a sentiment analyzer to classify feedback scores and extract topic clusters. This process generates actionable insights reports highlighting customer trends.

Can I use customer feedback from product reviews and social mentions to generate content briefs?▼

Yes, you can process product reviews and social mentions alongside support tickets to generate content briefs. It extracts sentiment and topic clusters from this feedback to inform marketing and CX decisions.

What is sentiment classification with defined score ranges and how does it work for customer feedback?▼

Sentiment classification with defined score ranges categorizes customer feedback into quantifiable sentiment tiers. It evaluates text from support tickets and reviews to measure attitudes, enabling structured topic extraction and brand voice audits.

Does this sentiment analysis approach support data privacy for ingesting customer support tickets?▼

Yes, analyzing customer support tickets includes guardrails for data privacy. These protections ensure safe ingestion of Gorgias CSV exports and social mentions while performing topic extraction and generating actionable insights reports.

What is the best way to turn customer feedback into actionable insights for CX optimization?▼

The best way to turn feedback into actionable insights is by aggregating support tickets, reviews, and social mentions. Applying sentiment analysis and topic extraction generates content briefs and brand voice audits for CX optimization.

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