Entity Extraction/Data Labelling
Empower your machine learning models with meticulously labeled data
Entity Extraction is used for identifying, extracting and classifying key data elements from text into pre-defined categories. Medical experts and researchers face challenges while trying to extract knowledge while creating datasets which are required for minimizing medical errors. Entity Extraction is becoming critical for medical experts as it adds structure and semantic information to unstructured text. It lets ML algorithms recognize mentions of entities within the given text and helps encapsulate large pieces of content. It also plays a vital role in pre-processing NLP tasks. Data Labelling is critical in drug manufacturing. It serves as the primary reference document and a unique identifier for authenticity. It is used for creating drug labelling and packaging, patient literature, etc. while maintaining compliance.
Molecular Connections’ Entity Extraction/Data Labelling provides pharmaceutical and biotech companies with digitized drug/labelling solutions that help them reduce manual tasks and increase accuracy and efficiency. With our technological expertise, we help clients create customized digital document management systems and modern label management systems.
Benefits of Entity Extraction/Data Labelling:
Rules out human errors/inconsistencies
Is time and cost-effective
Helps maintain compliance/meeting standards and regulation for quality control
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