expert data annotation
What is Text Annotation Labeling

What is Text Annotation/Labeling?

Text labeling is the process of marking or tagging text data to make it useful for machine learning and AI models. Algorithms are taught language, pattern detection and prediction by adding depth to raw information. Our text annotation services help you prepare your models effectively by providing high-quality training data necessary for various applications ranging from Natural Language Processing (NLP) to sentiment analysis among others.

The reasons why we are different from others include accuracy, scalability and expertise. Our team comprises experienced annotators who work hard together with quality control specialists in order to produce accurate annotated datasets that can be used in any project. With the use of industry leading tools plus customised workflows we ensure completion of your text annotation project within time limits and with precision.

Our Services

Named Entity Recognition (NER)

Tagging entities like people, locations, organizations etc., so that NLP models perform better.

Sentiment Analysis

Sentiment Analysis

Categorizing texts based on emotion or opinion i.e., positive, negative, neutral etc.

Part-of-Speech Tagging

Part-of-Speech Tagging

Assigning labels to words according to their function in a sentence i.e., nouns, verbs, adjectives etc.

Text Classification

Grouping textual data into predefined categories for easy organization of data.

Intent Detection

Figuring out what user wants from given input for chatbots & virtual assistants.

Custom Text Annotations

Custom Text Annotations

We offer tailor-made annotations depending on specific needs like topic modelling semantic roles etc.

Industries We Serve:

Healthcare

E-commerce

Legal

Finance

Automotive

Technology

Benefits of Our Text Annotation Services

Accuracy and Quality

Our strong quality control system ensures each piece of information is labeled with utmost accuracy possible. Multiple validation steps are taken including peer-reviews, automated checks, feedback loops etc., so as to get correct results at last.

Scalability

Whether you have a small dataset or millions worth of annotations needed, our service will scale to fit your project size. Both manual and automated methods can be used simultaneously when annotating large volumes of data without compromising quality.

Experienced Annotators

Our experts have deep knowledge in different industries hence this gives us an added advantage over our competitors. We are well trained professionals who know what should be done during the annotation process so as to come up with meaningful data.

Customization

We understand that every project has its own requirements therefore we work closely with you by adjusting our text annotation processes. This ensures that AI models receive the right kind of information required for their success in various areas of machine learning.

How It Works

How it works

Why Work With Us?

Contact us today to discuss your data annotation needs and discover how we can help enhance your AI and ML models.

Since 2018, we have been trusted to provide highly reliable data to some of the biggest names in the AI industry.

 

We offer competitive pricing without compromising on quality.

Our team consists of highly skilled and trained annotators with extensive experience.

 

We guarantee the highest accuracy in our annotations to ensure the effectiveness of your AI models.

We prioritize the security and confidentiality of your data throughout the annotation process.

We can handle projects of any size, providing scalable solutions to meet your needs.

Why Choose Us

Don’t hesitate to
Contact with us for inquiries!

As we understand your business is mostly about Data, we not only Provide human generated data we transform business in the world with human generated services.

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Frequently Asked Questions (FAQs)

Frequently Asked Questions (FAQs)

Text annotation is the process of labeling and tagging text data to make it readable for AI systems. It helps in training models for applications like natural language processing (NLP), sentiment analysis, and chatbots.

 

 

Text annotation allows AI to understand context, intent, and sentiment in written content. It improves the accuracy of chatbots, recommendation systems, and automated content moderation tools.

Text annotation involves tagging key elements like entities, phrases, or emotions in text. It can be done manually or with the help of tools that streamline the process for AI model training.

 

It’s used in NLP tasks such as sentiment analysis, entity recognition, machine translation, and chatbot development, making machines capable of understanding human language better.

Challenges include ambiguity in language, contextual variations, and handling large volumes of data. High-quality annotation requires domain expertise to ensure accurate results.

We can handle projects of any size, providing scalable solutions to meet your needs.

Partner with us to elevate your AI/ML projects.​

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