Sentiment Analysis Services You Can Trust

Enterprise-grade sentiment insights for confident decision-making — with uncompromising data security.

Enterprise-grade sentiment insights for confident decision-making — with uncompromising data security.

Sentiment analysis annotation at scale—no team to hire, no resources to manage
Stay in control with transparent workflows and full operational visibility
Full compliance with your internal security protocols

What is Sentiment Analysis?

Emotion hides in plain sight — across everyday customer interactions. Sentiment analysis turns this raw text data into signals of tone and attitude. As an NLP application, it classifies language as positive, negative, or neutral — but models must be trained to do this.

For accurate results, they rely on human-annotated examples that reflect real-world tone, intent, and polarity. That’s why high-quality annotation is essential for domain-aware understanding.

Why Leading Teams Trust Us with Complex LLM Services

The Value We Bring as a Sentiment Company Focused on Human Annotation

Expert human annotation for reliable sentiment data

  • Gain human insights that capture nuance, emotion, and interpretive complexity unlike automated models
  • Receive training-ready data with real-world reliability

Streamlined onboarding for faster team readiness

  • Achieve faster productivity with human annotators and structured workflows
  • Enjoy annotation teams up and running without client-side overhead

Expert-led project setup that avoids costly trial and error

  • Benefit from expert guidance on task design, edge cases, and success criteria
  • Skip the costly
guesswork before
labeling starts

Proven track record across sentiment-heavy projects

  • Leverage deep understanding of quality drivers in sentiment annotation
  • Launch confidently with a sentiment analysis service partner who’s done this before
Ready to get sentiment insights you can trust? Let’s talk.

Sentiment Analysis is Complex — We De-Risk It

Secure annotation for high-stakes data — even without an internal setup. From cultural nuance to subjective edge cases, we’ve done it all.

On your own, it’s risky:

  • No internal team to manage subjective annotation reliably
  • Unclear how to scope or structure tasks — too much trial and error
  • High sensitivity around data security, control, and vendor trust
  • Pressure to deliver realistic,
actionable insights —
without the setup

With us, it’s under control:

  • Trained human teams handle complex cases with subjectivity and nuance
  • You get data that reflects real human signals — not generic automation
  • Enterprise-grade processes ensure compliance, transparency, and oversight
  • We guide task design, edge case coverage, and label logic, including sentiment scoring scales from day one
Personalize your workflow with a sentiment team built for complex data

Use-cases

E-commerce

Retailers analyze product reviews to understand how customers feel. Insights highlight positives, flag negatives, and guide merchandising with analytics tools to boost conversions.

Market Research

Researchers analyze open responses to uncover positives, negatives, and emotion. Businesses use text analytics to refine products and align messaging with audience needs.

Customer Support

Support teams use analytics software to spot service gaps, improve customer support, and enhance customer experiences based on recurring patterns in chats and tickets.

Human Resources

HR teams evaluate employee feedback to surface team sentiment. Text analytics supports culture programs, tracks engagement trends, and improves internal communication and retention.

Social Media Monitoring

Brands apply media monitoring tools to track sentiment in posts and replies. This helps detect early shifts, manage risks, and shape communication strategy.

Travel & Hospitality

Travel brands analyze guest reviews with sentiment tools to flag negatives, highlight great customer experiences, and enhance products across services and channels.

Media & Entertainment

Media companies assess product reviews and feedback to understand reactions. Media monitoring tools help refine content strategy and strengthen customer experiences across platforms.

Finance

Financial teams use analytics software to track market sentiment, detect negatives in commentary, and support smarter, faster investment and risk decisions.

How It Works: Our Process

A Clear, Controlled Workflow From Brief to Delivery

Your Sentiment Annotation Questions Answered

How much will sentiment annotation cost and how long will it take?
It depends on your project scope. Once we understand your needs, we’ll provide a clear estimate with transparent pricing.
Do we need to have an internal annotation pipeline or team in place before starting with you?
Not at all. We’ll help you build everything from scratch — no in-house setup needed.
Is our data secure? Can we work under an NDA?
Yes, fully. We support NDAs, access controls, and enterprise-grade confidentiality at every stage.
How do we know the work will be good?
Every annotator is properly trained, and we apply layered QA to ensure accuracy and consistency throughout.
What if we're not sure exactly what we want?
That’s perfectly fine. We’ll guide you through task design and help clarify goals, edge cases, and labeling structure.
Can we make changes as we go?
Absolutely. You can update guidelines, add data, or adjust the scope anytime during the project.

What our clients are saying

UniData

4 3 Reviews

PA

Paul 2025-02-21

Very Positive Experience!

The team was very responsive when requesting a specific dataset, and was able to work with us on what data we specifically needed and custom pricing for our use case. Overall a great experience, and would recommend them to others!

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TH

Thorsten 2025-01-09

Very good experience

We got in touch with UniData to buy several datasets from them. Communication was very cooperative, quick, and friendly. We were able to find contract conditions that suited both parties well. I also appreciate the team's dedication to understand and address the needs of the customer. And the datasets we bought from UniData matched with our expectations.

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Max Crous 2024-10-08

Data purchase

Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

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Abhijeet Zilpelwar 2025-02-26

Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

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