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Customer Support

Sentiment Analysis Tool

Analyze the sentiment of any text — reviews, surveys, social media, or feedback. Get detailed emotional breakdown with confidence scores.

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The Sentiment Analysis Tool examines text to identify emotional tone, sentiment polarity, and key drivers. Perfect for analyzing customer reviews, survey responses, social media mentions, or any text where understanding the underlying sentiment matters.

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✓ Free to use — no signup, no credit card.

Developers

Quick read on an app store review

Developers triaging user reviews who need an instant read on whether feedback is positive, negative, or a fixable complaint.

See input + output preview

Input

Text To Analyze
Honestly love the new dark mode and the app feels way faster after the update. But it crashed twice when I tried to export a PDF, which was frustrating because I needed it for a meeting. Hope you fix that soon — otherwise it's a great app.
Analysis Depth
quick
Context
reviews

Output (excerpt)

Overall sentiment: Mixed-Positive (net +0.4). The reviewer expresses genuine enthusiasm for dark mode and improved speed, but a notable negative spike centers on PDF export crashes causing real-world frustration. Tone is constructive, not hostile — they still call it "a great app." Priority signal: the crash is the single actionable issue and risks souring an otherwise loyal user. Recommend acknowledging the bug and following up once fixed.
Small Business

Detailed analysis of survey open-text

Small-business owners who want aspect-level insight from survey responses to know exactly what to fix versus celebrate.

See input + output preview

Input

Text To Analyze
The onboarding was confusing and I almost gave up, but your support team was incredibly patient and walked me through everything. Pricing feels a bit high for a small shop like mine, though the time it saves is real. I'd recommend it to other owners with a caveat about the learning curve.
Analysis Depth
detailed
Context
surveys

Output (excerpt)

Detailed sentiment: Positive overall, with mixed sub-themes. Emotions: frustration (onboarding), gratitude (support), ambivalence (pricing), advocacy (recommendation). Aspect breakdown — Onboarding: negative ("confusing," near-churn risk). Support: strongly positive ("incredibly patient"). Pricing: negative-leaning but rationalized by ROI. Net Promoter signal: conditional promoter. Action: reduce onboarding friction to convert ambivalence into a clean recommendation.
Marketers

Comparative sentiment across social posts

Marketers monitoring launch chatter who need to compare reactions side-by-side and prioritize the issues hurting conversion.

See input + output preview

Input

Text To Analyze
Post A: 'New campaign is gorgeous, finally a brand that gets us!' Post B: 'Cool ad but it feels like every other startup out there.' Post C: 'Why does the checkout still require an account? Lost me there.' Post D: 'Bought immediately after seeing the launch video — so good.'
Analysis Depth
comparative
Context
social

Output (excerpt)

Comparative sentiment across 4 posts. Positive: A (+0.8, brand affinity) and D (+0.9, direct conversion). Neutral-Critical: B (-0.1, 'generic' positioning concern). Negative: C (-0.6, checkout friction blocking purchase). Pattern: creative resonates strongly, but two threats emerge — differentiation perception (B) and a checkout UX blocker (C) actively costing sales. Highest-ROI action: remove forced account creation; reinforce distinct positioning in follow-up creative.

Your Sentiment Analysis Tool results will appear here

Expect empathetic, solution-first responses you can lightly edit and send.

How to Use Sentiment Analysis Tool

  1. Enter content to analyze in the main input field. Be as specific as possible for better results.
  2. Configure your preferences: Analysis Focus.
  3. Click 'Generate' and wait a few seconds for the AI to process your request.
  4. Review the generated output. Use 'Regenerate' for a different variation or 'Copy' to use the result.
  5. Refine your input or adjust settings and regenerate until you're satisfied with the result.

Use Cases

1

Get data-driven insights from existing content or data

2

Identify strengths, weaknesses, and opportunities

3

Summarize lengthy documents into key takeaways

4

Benchmark against industry standards and best practices

Tips for Best Results

  • Be specific in your input — detailed descriptions produce better results.
  • Try generating multiple times with different settings for varied outputs.
  • Review and customize the AI output before using it in production.
  • Provide complete context for more accurate and useful analysis.

Frequently Asked Questions

What is Sentiment Analysis Tool?

Sentiment Analysis Tool is an AI-powered tool that helps you with customer support tasks. It uses advanced language models to generate high-quality results based on your input.

Is Sentiment Analysis Tool free to use?

Yes! Free users get 5 uses per day. Upgrade to Pro ($19/month) for unlimited access to all tools.

How accurate is the generated output?

The AI produces high-quality results, but we recommend reviewing and customizing the output for your specific needs. Think of it as a powerful first draft.

Is my data safe?

Absolutely. We don't store your input text. Processing happens in real-time and your data is discarded immediately after generating results.

Can I use the output commercially?

Yes. All generated content is yours to use for any purpose, including commercial projects.

What if I'm not happy with the result?

Click 'Regenerate' for a different variation, or adjust your input and settings. Each generation produces unique results.

🔒
Your Privacy is Protected

We don't store your text. Processing happens in real-time and your input is discarded immediately after generating the result.

Unlock Unlimited Access

Free users: 5 uses per day | Pro users: Unlimited

⚖️ Compare This Tool

See how this tool stacks up side-by-side:

Sentiment Analysis Tool vs. Customer Satisfaction Survey Generator See Comparison →

✍️ Prompt Library

Ready-to-use prompts — click "Use This" to auto-fill the tool

Write 5 canned responses for common support queries about [product type]: billing, password reset, feature questions, bug reports, cancellations.

Create a troubleshooting guide for [product issue]. Step-by-step, beginner-friendly.

Draft a customer apology email for [type of issue] with a resolution and goodwill gesture.

Write escalation guidelines for a support team handling [product]: when to escalate, to whom, and response SLAs.

Create a customer satisfaction survey (CSAT) with 8 questions for a [support channel].

🔒

⚡ Pro Prompts

Build a full help centre article structure for…...
Write a complete agent training guide for handling…...
Create a Voice of Customer (VoC) analysis template…...
Upgrade to Pro →

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