Glossary
Essential terms and concepts in document analysis and AI processing
Artificial Intelligence (AI)
Computer systems that can perform tasks typically requiring human intelligence, such as understanding text, recognizing patterns, and making decisions.
Natural Language Processing (NLP)
A branch of AI that enables computers to understand, interpret, and generate human language in written or spoken form.
Optical Character Recognition (OCR)
Technology that converts images of typed, handwritten, or printed text into machine-readable text data.
Data Extraction
The process of retrieving specific information from unstructured or semi-structured documents and converting it into a structured format.
Document Parsing
The process of analyzing a document's structure and content to extract meaningful information and relationships.
Text Analysis
The process of examining written content to extract insights, sentiment, themes, and other meaningful patterns.
Structured Data
Information organized in a predefined format, such as databases, spreadsheets, or JSON, making it easily searchable and analyzable.
Unstructured Data
Information that doesn't have a predefined format, such as free-form text, images, or documents, requiring processing to extract meaningful insights.
Entity Extraction
The process of identifying and extracting specific types of information (like names, dates, amounts) from text.
Sentiment Analysis
AI technique that determines the emotional tone or attitude expressed in text, classifying it as positive, negative, or neutral.
Confidence Score
A numerical measure indicating how certain an AI system is about its predictions or extracted information.
Tokenization
The process of breaking down text into smaller units (tokens) such as words, phrases, or characters for analysis.
Text Embeddings
Numerical representations of text that capture semantic meaning, allowing computers to understand relationships between words and concepts.
Large Language Model (LLM)
AI models trained on vast amounts of text data that can understand and generate human-like text for various applications.
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