Text Data Collection for Natural Language Processing
Deep Learning Application
Our Capabilities
To build machine learning solutions capable of understanding the intricacies of human language, large quantities of structured text data is required. Gathering sufficient high quality NLP data is the first step in solving any language-based machine learning problems. Our experts develop natural language processing with the domain specific-multilingual text data (Text messages, Ticket Dataset, Receipt Dataset, Menu Dataset, Document Dataset, Business Card Dataset) to unlock critical information found deep with unstructured data to solve several use cases. All AI training data is collected according to legal standards aligned with GDPR requirements.
Our team of Statswork experts work in all major 500+ languages (e.g., Chinese, Dutch, French, German, Italian, Japanese, Portuguese, Spanish), dialects and regions and fulfil the requirements of even the most complex machine learning, NLP models.
How we Help
Receipt Data Collection
We collect various types of invoices including cab receipts, hotel bills, shopping invoices, internet invoices, and many more from across the globe & in languages as required.
Ticket Dataset Collection
We help you to source various types of tickets including cruise tickets, bus tickets, railway tickets and airline tickets across the globe based on your specifications.
HER Data & Physician Dictation Transcripts
We offer you off the shelf HER data and physician dictation transcripts from various medical specialities including diabetology, oncology, radiology etc.
Document Dataset Collection
We collect all types of important documents including credit card, driving license, and other documents from different geographies and languages as required to train Your ML models.
Transform your business with AI and Machine Learning Services
Define the problem – Task Scope
Determine exactly what your business requires. The specific requirements are: a) type of training data will you require b) processing method, c) what type of data do you need to evaluate? D) what do you need tested or run through a set of process e) size of the project g) require click workers from a specific region h) data format to be delivered i) need an API connection along with the order, interactions, and decision flow between them.
Data Collection
Data dictionaries are critical to understand, contextualize and translate programming logic into business rules. Once the process flows are documented, our team of experts develops a data dictionary encompassing all data elements in the application and their business and functional description. Subsequently, establish data collection mechanisms.
Quality Check & Assurance
Develop business rules, annotation /categorization with meta-data and Implementing components of a pipeline. through system architecture and conceptual design that meets outlined requirements. Incorporate requirements of the relevant certifications, regulations, and formal market constraints. Defining the methodologies to be used in building software. Follow best practices and industry standards
Delivery
Collect the relevant data and analyse or develop an algorithm to discover useful insights for making business decisions. Continuously assess the performance of your algorithm and make refinements if necessary.
Our Capabilities
Text Summarisation
Our team of experts can summarize document or create summary or abstract text summarization to understand meaning and succinctly paraphrase your document.
Intent variation
We can create new intents for your specific use case and labels, analyse or categories your existing data. Our team of experts capture intent variation datasets that covers different ways from different ethnic background and age groups.
Data Entry
Our team of experts across the globe, will collect, process and cleanse data from anywhere in the world. At this stage, you can be assured that your raw data is prepared, refined and ready for your ML models.
Handwritten data transcription
We can source Custom handwritten data from hundreds of languages and dialects. The quality of data and formatting will be assessed before packaging it based on your specifications.
Chatbot training data
Chatbots require a lot of training data to learn and respond effectively to human interactions. We can deliver chatbot utterances and conversation templates. Along with it, we offer intent variations, intent classification and intent recognition.
Our Apporach
Define the problem – Task Scope
Determine exactly what your business requires. The specific requirements are: a) type of training data will you require b) processing method, c) what type of data do you need to evaluate? D) what do you need tested or run through a set of process e) size of the project g) require click workers from a specific region h) data format to be delivered i) need an API connection along with the order, interactions, and decision flow between them.
Data Collection
Data dictionaries are critical to understand, contextualize and translate programming logic into business rules. Once the process flows are documented, our team of experts develops a data dictionary encompassing all data elements in the application and their business and functional description. Subsequently, establish data collection mechanisms.
Quality Check & Assurance
Develop business rules, annotation /categorization with meta-data and Implementing components of a pipeline. through system architecture and conceptual design that meets outlined requirements. Incorporate requirements of the relevant certifications, regulations, and formal market constraints. Defining the methodologies to be used in building software. Follow best practices and industry standards
Delivery
Collect the relevant data and analyse or develop an algorithm to discover useful insights for making business decisions. Continuously assess the performance of your algorithm and make refinements if necessary.
Industries Serving
Speech and audio data collections in cars are necessary to capture specific drive speech patterns and in-vehicle noise characteristics.
Machine Learning hold the key place in designing autonomous cars. Audio analytics plays an important role to make self-driving cars a success.
