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TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Trusted by ML Professionals

Text Annotation Services

Get your text datasets and documents annotated in 55+ languages for various NLP tasks.

RUN FREE PILOT

Trusted by 100+ Customers

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Use Cases for

ML Engineers

ML Engineers

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Developing models for NER, sentiment, and classification tasks

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Experiencing text annotation delays, impacting project timelines

Dataset Business

Dataset Business

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Delivering annotated text datasets for commercial needs

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Require fast, precise annotation to satisfy the demand

AI-Powered Business

AI-Powered Business

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Leveraging ML for text analysis, processing, and insights

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Challenged by large amounts of raw text data

Academic Researchers

Academic Researchers

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Creating annotated datasets for research and peer-reviewed publications

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Limited by time and resources for manual annotation

Discuss your challenges

Check Your Text Annotation Needs

Text Classification

Text Classification

Named Entity Recognition

Named Entity Recognition

Sentiment Analysis

Sentiment Analysis

Comparison

Comparison

Audio-To-Text Transcription

Audio-To-Text Transcription

Optical Character Recognition

Optical Character Recognition

An example of annotated text classification for detecting spam
An example of annotated text classification for grouping news categories
An example of annotated text classification for detecting and analyzing user intent
Spam Detection Spam Detection
Topic Classification for News Topic Classification for News
Intent Detection Intent Detection
An example of annotated name entity recognition for extracting names and locations
An example of annotated name entity recognition for processing medical & legal documents
An example of annotated name entity recognition for detecting brand mentions
Extracting Names and Locations Extracting Names and Locations
Medical & Legal Document Processing Medical & Legal Document Processing
Brand Mention Detection Brand Mention Detection
An example of annotating social media data for sentiment analysis
An example of annotating customer feedback for sentiment analysis
Social Media Monitoring Social Media Monitoring
Customer Feedback Analysis Customer Feedback Analysis
An example of annotating text for plagiarism detection
An example of annotating text for duplicate content detection
An example of annotating text for comparing legal documents
Plagiarism Detection Plagiarism Detection
Duplicate Content Detection Duplicate Content Detection
Legal Document Comparison Legal Document Comparison
Text Classification

Text Classification

svg
An example of annotated text classification for detecting spam
An example of annotated text classification for grouping news categories
An example of annotated text classification for detecting and analyzing user intent
Spam Detection Spam Detection
Topic Classification for News Topic Classification for News
Intent Detection Intent Detection
Named Entity Recognition

Named Entity Recognition

svg
An example of annotated name entity recognition for extracting names and locations
An example of annotated name entity recognition for processing medical & legal documents
An example of annotated name entity recognition for detecting brand mentions
Extracting Names and Locations Extracting Names and Locations
Medical & Legal Document Processing Medical & Legal Document Processing
Brand Mention Detection Brand Mention Detection
Sentiment Analysis

Sentiment Analysis

svg
An example of annotating social media data for sentiment analysis
An example of annotating customer feedback for sentiment analysis
Social Media Monitoring Social Media Monitoring
Customer Feedback Analysis Customer Feedback Analysis
Comparison

Comparison

svg
An example of annotating text for plagiarism detection
An example of annotating text for duplicate content detection
An example of annotating text for comparing legal documents
Plagiarism Detection Plagiarism Detection
Duplicate Content Detection Duplicate Content Detection
Legal Document Comparison Legal Document Comparison
Audio-To-Text Transcription

Audio-To-Text Transcription

svg
Optical Character Recognition

Optical Character Recognition

svg

How It Works

Step 1

Free Pilot

Send your text dataset for a free annotation trial and experience our service, risk-free.

Step 2

QA

Review trial results to confirm they meet your quality standards and budget goals.

Step 3

Proposal

Receive a customized proposal based on your specific text annotation needs and project scope.

Step 4

Start Labeling

Kick off the annotation process with our dedicated team to speed up your project.

Step 5

Delivery

Receive your annotated dataset promptly, ensuring your project stays on time and within budget.

Calculate Your Cost
Estimates line

1 Select annotation method
2 Specify how many objects to process
3 Check the approximate total cost
4 Run free pilot
Select Annotation Method
Amount
0 1M
Estimated Cost
$ x entities
$
RUN FREE PILOT

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

Stars "We were impressed by the labeled data quality as well."

Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.

Stars "They’re willing to drop everything to fulfill our needs and keep us happy."

Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.

Stars "Their flexibility and ability to work with multiple languages are impressive."

LYD showed high quality and flexibility and convinced us from day one with their high passion for delivering a great service. We currently evaluate further possibilities to further involve them in our initiatives and projects.

Stars “I’m impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data’s support has been crucial in developing the client’s computer vision perception algorithms.

Stars "The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client’s portfolio. The team was consistently available for questions or updates that needed to be added to the data set.

Stars "They are flexible, dedicated, and their processes are well organized."

Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.

Why Projects Choose Label Your Data

No Commitment

No Commitment

Check our performance based on a free trial

Flexible Pricing

Flexible Pricing

Pay per labeled object or per annotation hour

Tool-Agnostic

Tool-Agnostic

Working with every annotation tool, even your custom tools

Data Compliance

Data Compliance

Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA

Start Free Pilot

fill up this form to send your pilot request

Email is not valid.

Email is not valid

Phone is not valid

Some error text

Referrer domain is wrong

Thank you for contacting us!

Thank you for contacting us!

We'll get back to you shortly

TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Trusted by ML Professionals

FAQs

Do I need to commit to a long-term contract?

Not at all. We offer 3 flexible pricing options:

Short term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long term for a streamlined data annotation workflow

What is your pricing?

We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses

When can I start the free pilot?

As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day.

Do you work with our labeling tools?

Absolutely! We’re flexible with any tools you want us to work in.

How can I trust you with my confidential data?

We earned several data compliance certificates to prove our dedication to data security:

PCI DSS Level 1
ISO:27001
GDPR
CCPA

After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.

What are text annotation services?

Text annotation services involve adding labels or tags to text data to make it understandable for machine learning models. Expert annotators at Label Your Data identify and mark elements like entities, sentiments, topics, or relationships within the text. An annotated text dataset helps your model recognize patterns and learn effectively for NLP tasks.

How do you do annotations in text?

For text annotation, you apply labels to elements like names, dates, or keywords. At Label Your Data, this is done manually by experts or with automated tools, often both, to ensure quality. If you’re working on a complex or multilingual task, count on us as we speak 55 languages to meet diverse NLP project needs.

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