Categorization Data Extraction Metadata 
AWS Machine Learning Blog
MARCH 20, 2025
Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details. Additional processing is needed to standardize formats, manage JSON outputs, and align data fields, often requiring manual integration and multiple API calls.
OCTOBER 25, 2023
Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AssemblyAI
MAY 24, 2024
Researchers can use simple search queries to find what they're looking for and compare responses across different sessions to identify patterns or outliers in the data. Beyond basic tagging and categorization, Speech AI can also help with more nuanced parameters, such as speaker identification, sentiment, and thematic content.
John Snow Labs
SEPTEMBER 17, 2024
The documentation can also include DICOM or other medical images, where both metadata and text information shown on the image needs to be converted to plain text. The OCR engine needs to be enterprise-level, i.e., robust, accurate, and scalable for large volumes of data.
AWS Machine Learning Blog
MAY 7, 2024
Sensitive data extraction and redaction LLMs show promise for extracting sensitive information for redaction. This technique helps create structured data from unstructured text and provides useful contextual information for many downstream NLP tasks. Intents are categorized into two levels: main intent and sub intent.
John Snow Labs
MAY 24, 2023
Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Companies can use high-quality human-powered data annotation services to enhance ML and AI implementations.
Expert insights. Personalized for you.
104 
Let's personalize your content