Text Data Collection
We deliver precisely high-quality labelled, human-annotated text datasets with emotion, entity, intent and context annotations leading to improvements in natural language processing (NLP), chatbots, and smart search systems.
Utilize Text Data to Drive Next Generation AI
In a world where organizations leverage text data to remain competitive, from known primary and secondary sources, to collecting text message, and hand-written text gives you even more data – all of which is unstructured, with most organizations not having the ability to derive learnings.
Data is not enough. Then through text annotation, text labelling and text data analysis, your organization can take unstructured data, and add the unprocessed raw data,
To return machine readable text data that minimum can give meaning, and maximum driving machine learning text data models, chatbots, intelligent systems powered by better analytic insights.
Statswork provides secure, scalable text data collection, annotation, and analysis—transforming complex text into useful insights.
Text data collection is the process of gathering text from various sources to train and enhance AI, NLP and machine learning systems. There are multiple distinctive forms of text data collection depending on the application and domain.
Receipt Data Collection
Train AI to identify many receipts such as invoices, bills, and multilingual variations while using next generation OCR to create all types of data sets.
Ticket Data Collection
Encourage machine learning model development for young travel tickets containing rich OCR text datasets.
EHR Data and Notes Transcription
Allow healthcare AI models to read and utilize medical records and note notes to produce clever clinical workflow automations.
Chatbot Data for Training
Use context to develop high-quality chatbot training text data for industry-specific and real-time conversational AI models.
OCR Data Collection and Model Training
Support the training of OCR model systems with trusted or reliable datasets for documents that contain image, text, and character recognition.
Handwritten Data Transcription
Create AI tools to transcribe or transcribe and understand handwritten notes or historic documents with the fewest possible errors
Document Data Collection
Create intelligent models that recognize official documents like credit cards, property rights deeds, license, visas, and other proprietary paper forms.
Intent Variation Data
Train natural language processing (NLP) systems on intent variation data that captures user intent, emotion, and various language problems.
Industries
Text data collection allows industries to analyse customer sentiment, make improvements to their services, establish compliance, and create smarter, more reliable chatbots.
Statswork delivers high-quality, customized text data collection solutions for AI and ML. Here’s why we’re the right choice:
- Experience: Decades of experience in AI and big data ensure accurate, domain-specific text collection.
- Customized Solutions: Tailored collection of articles, chats, reviews, social content, and more.
- Global Accessibility: Multilingual and diverse data from regions worldwide.
- Quality: Cleaned, validated text data ready for training.
- Scalability: From small projects to large datasets—fast, flexible, and reliable.
Our process ensures the delivery of accurate, high-quality text data tailored to your AI and ML needs maximizing impact at every stage.
1. Requirements Discussion:
We collaborate closely with your team to understand the specific text data needs of your AI/ML project, defining clear goals and target sources.
2. Text Data Sourcing & Collection
We gather diverse and relevant text data from trusted sources such as articles, user reviews, chat logs, and more.
3. Pre-processing:
All collected text is cleaned, normalized, and pre-processed to ensure consistency and readiness for training.
4. Quality Assurance:
We apply rigorous validation checks to maintain the integrity, relevance, and usability of the text data.
5. Delivery & Support:
Processed text datasets are delivered on time, with continued support for optimal use in your AI and ML models.
Success Stories
Data Collection | Article
Data Abstraction | Article
Data Entry | Article
FAQs – Text Data Collection
1. What types of text data do you collect?
- Web content (blogs, articles, forums)
- Social media posts and comments
- Customer reviews and feedback
- Chat transcripts and messaging logs
- Product descriptions and technical documents
- Domain-specific or custom-requested text sources
2. Can you collect multilingual text data?
- Yes, we support over 30+ languages
- We have access to global sources for diverse language datasets
- Text can be localized or region-specific based on your needs
3. How do you ensure the quality of the collected text data?
- Rigorous data cleaning and preprocessing (removing noise, duplicates, etc.)
- Manual and automated validation steps
- Format standardization and structuring
- Consistency checks to match project requirements
4. Is your text data collection customizable?
- Yes, we tailor data collection to your industry, model type, and language
- You can specify data type, source, format, and volume
- We support both structured and unstructured text formats
5. How scalable is your text data collection service?
- We handle everything from small pilot datasets to large-scale text corpora
- Rapid deployment for urgent or high-volume projects
- Infrastructure in place to support ongoing or recurring data needs
6. What is the typical turnaround time for a text data project?
- Depends on volume, complexity, and language scope
- Small to medium projects: 1–2 weeks
- Large-scale or multilingual datasets: 3–6 weeks
- We always agree on timelines upfront and deliver as scheduled
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