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.
Understand Customer Needs
Qualitative research will reveal the why behind what customers do. Once you understand this you can adopt strategies that better meet their expectations.
Spot Market Trends
Ethnography and the collection of digital data will help you spot and keep on top of developing market trends.
Improve Product Development
Feedback from focus groups and interviews used to test products and services will help you refine your offerings, as well as being in tune with how customers feel about them.
Enhance Brand Strategy
The insights that qualitative market research provides can help your intentions for advertising messages and brand positioning stay strong and clear.
More Informed Decision Making
The right combination of qualitative and quantitative data will produce deeper, more balanced, and data-led strategies.
Build Customer Loyalty
Learning what motivates your customers helps you to create a unique experience, and one they will stick with long term.
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
Need to enhance your ROI and customer experience? Connect with a trusted partner in qualitative market research, Insights Opinion.
