sentiment-analysis

Name: sentiment-analysis
Availability: InStock
Author: viethahong

Classify sentiment in Vietnamese and global customer comments, reviews, and support tickets.

2|Updated Apr 25, 2026

Search Tags:#nlp #customer-feedback #text-analysis #sentiment-analysis #brand-insights

Ready to run

npx skills add https://github.com/viethahong/business-skills --skill sentiment-analysis-viethahong

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/viethahong/business-skills/tree/main/skills/cskh/sentiment-analysis
Command: npx skills add https://github.com/viethahong/business-skills --skill sentiment-analysis-viethahong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Phân tích cảm xúc từ văn bản để cung cấp cái nhìn sâu về cảm nhận của khách hàng, giúp cải thiện retention và chất lượng dịch vụ.

Core Features & Use Cases

Nhận diện cảm xúc từ tích cực, tiêu cực và trung lập và trích xuất nguyên nhân đằng sau cảm xúc.
Nhận diện sắc thái và mỉa mai (sarcasm) bằng tham chiếu từ điển để giảm lệch chuẩn phân tích.
Tích hợp tham chiếu ngữ cảnh và xuất báo cáo insights cho các kênh truyền thông và dịch vụ khách hàng.

Quick Start

Gửi danh sách bình luận và yêu cầu AI phân tích cảm xúc, trích xuất pain points, và đề xuất phản hồi.

Frequently Asked Questions about sentiment-analysis

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

FAQPage Schema

How do I analyze customer sentiment from support tickets and reviews at scale?▼

Sentiment analysis detects positive, negative, and neutral emotions from comments and support tickets. It extracts underlying pain points, detects sarcasm using reference dictionaries, and clusters issues to output structured insights and recommended actions.

Can text analysis detect sarcasm and nuanced sentiment in customer feedback?▼

Yes, sentiment analysis detects sarcasm and nuanced language by referencing contextual dictionaries. This approach reduces analytical deviation and accurately captures the true emotional tone behind complex customer feedback.

Does this sentiment analysis tool support Vietnamese and global text contexts?▼

Yes, this sentiment analysis tool supports language-aware processing for both Vietnamese and global contexts. It accurately evaluates customer reviews and support tickets across different languages to guide retention strategies.

What is the best way to extract pain points from customer reviews for service improvement?▼

The best way to extract pain points is to send customer reviews for sentiment analysis. The tool identifies negative emotions, clusters underlying issues, and provides recommended actions to improve service quality and retention.

What structured outputs can I expect from analyzing customer feedback sentiment?▼

Analyzing customer feedback sentiment yields structured outputs including heatmaps, clustered issues, and recommended actions. These insights help guide service improvement and inform customer retention strategies.