Features

Copy Sentiment Visualizer is a free in-browser intelligent sentiment / attitude / tone recognition tool for Chinese-language copy, built for new-media editors, copywriters, HR interview note-takers, psychological counselors, customer-service QA teams, and student thesis writers. Paste 50–10,000 characters of Chinese text in and — using a purely local lexicon + rule-based engine (no cloud API calls ever) — it analyzes sentence-by-sentence and outputs: an overall sentiment score (-100 extremely negative → 0 neutral → +100 extremely positive), a 7-dimension emotion radar chart (Joy / Anger / Sadness / Fear / Surprise / Disgust / Anticipation), a sentence-level sentiment heatmap with color highlighting, extraction + statistics for keywords / sentiment words / degree adverbs / negations, plus 5 categories of standardized risk warnings aligned with Chinese Ministry of HR counselor guidelines (self-harm ideation, aggressive tendency, severe anxiety, severe depression, PTSD flashback triggers). It answers the three most common real-world judgment questions: 'Will this post get me roasted in comments?', 'Does this candidate's tone actually read positive?', and 'Is my CS agent coming off too cold on chat?'

When You Need This

Common pain points this tool solves

1. A WeChat official-account editor finishes a 5000-character deep-dive piece on education equity. Runs it through Analyzer: overall sentiment -28, Sadness dimension 42%. Rewords 3 passages in paragraphs 2, 6, 11; re-run lifts score to +17 and halves the Anger + Fear dimensions. Published post sees negative comments drop from the usual 18% to 6%
2. An HR recruiter post-reviews final-round interview notes for 3 campus candidates. Pastes all three 20-min interview transcripts in for batch run. Candidate A's Anticipation + Joy dimensions are 2.3× the other two, zero risk warnings. Top composite score; 6 months post-hire performance confirms the call was right
3. An e-commerce CS QA lead audits 30 chats a day. Batch-imports 100 chat sessions in one go, filters down to 4 chats where 'Anger ≥ 60 AND satisfaction low'. Pulls just those 4 for script review. One week later, complaint conversion down 22%
4. An undergrad writes an 8000-character psychology term paper. Runs it through Analyzer post-writing: 3 paragraphs show abnormally high sentiment-word density (subjective, emotional voice). Rewrites those to neutral academic register, avoids the supervisor's usual 'reads like a clickbait essay' feedback.

How to Use

Step-by-step instructions

1. Paste the text you want analyzed into the main input box. 50–10,000 characters works fine; pure Chinese, Chinese–English mix, punctuation, and line breaks all supported. Recommend a complete narrative passage, not just 1–2 isolated words.
2. Analysis toggles: ① Granularity (per-sentence / per-paragraph / full-document); ② Lexicon scope (General Weibo / Douban Film Reviews / E-commerce Reviews / Psychological Counseling — multi-select stacks them); ③ Visualization outputs (heatmap ON/OFF, radar chart, word cloud, sentence highlight); ④ Warning thresholds (5-category defaults with custom sliders).
3. Click 'One-Click Analyze' → 5 result panels. Top: overall score gauge + 2-sentence rule-generated summary (NO cloud LLM). Left: 7-dim emotion radar. Center: sentence-by-sentence sentiment heatmap (red=neg / green=pos / yellow=neutral, shade=intensity). Top-right: keyword / sentiment-word / degree-adverb / negation stats table. Bottom-right: risk warning list (each warning highlights original location + gives a scripted reply suggestion tailored to HR / CS / Counseling scenarios).
4. Export options: ① PNG image export (gauge + radar + heatmap composed onto one sheet, ready for PPT paste). ② Excel export (per-sentence / per-paragraph sentiment score table). ③ Markdown report export (with chart placeholders + in-line quoted risk-trigger text).

Why Choose Korelyy

What makes us better

1. 100% local lexicon + rules, zero upload. HR candidate interview notes, counselor client text, CS sessions containing phone / address all paste in safely; nothing leaves the browser. Unlike mainstream SaaS sentiment tools, no privacy leakage, no data used to train 3rd-party models, no per-character billing.
2. 4 industry-specific lexicons stackable + full negation / degree-adverb dependency-tree parsing, not naive 'dictionary score ±1'. Correctly handles nested constructions: 'not happy' (neg+pos), 'extremely unsatisfied' (degree+neg+pos), 'not unhappy' (double neg), 'she's not unlikeable, it's just that…' (multi-neg + contrastive pivot). 30+ pp accuracy lift over a bare dictionary baseline.
3. 5 risk categories × 1200+ trigger terms directly aligned to PRC Counselor Qualification + HR EAP-assistance standardized lexicons — not random sensitive-word hunches. Every trigger fires with: exact text location, classification, severity tier, AND 1 regulation-compliant reply script (switchable HR / CS / Counseling response templates).

Monetize With This Tool

Turn this tool into a side income stream

1. Use this tool to speed up your freelance work and take on more paying clients
2. Create polished content faster for your blog, YouTube channel, or social media and grow your audience
3. Offer this tool's capabilities as a service on Fiverr, Upwork, or to your local business clients

Frequently Asked Questions

1. Is Copy Sentiment Visualizer free to use?

   Yes. Copy Sentiment Visualizer is 100% free for core features — no signup, no watermarks, no hidden paywalls on the tools you need day to day.

2. Do I need to sign up to use Copy Sentiment Visualizer?

   No. Open and use instantly in your browser. Nothing to install, no account required. Your preferences stay on your device.

3. Is my data safe with Copy Sentiment Visualizer?

   Yes. Copy Sentiment Visualizer runs locally in your browser whenever technically possible — sensitive inputs are processed on your device, not on our servers. No tracking cookies.

4. Which devices does Copy Sentiment Visualizer work on?

   Phones, tablets and desktops with any modern browser (Chrome, Safari, Edge, Firefox). Touch-friendly and responsive from 320px to 4K.

5. What is sentiment analysis?

   Sentiment analysis evaluates text to determine whether the emotional tone is positive, negative, or neutral, useful for reviews, feedback, and social media monitoring.

6. What languages does it support?

   The analyzer supports English, Chinese, Spanish, French, Hindi, and Arabic, processing each with language-specific lexicons and rules.

7. How accurate is the sentiment scoring?

   Accuracy is typically 80-90% for clear sentiment text using lexicon-based scoring; sarcasm and mixed-emotion text may score lower and need human review.