Extraggo mines keywords and domains from a given data collection and maps them by topic. This process is fundamental for any text analysis task and provides a quick overview of the text’s main themes, making it easier to understand and analyze.
Extraggo®
extract knowledge from text and analyze key concepts, entities and domains
With Extraggo, you can distill and organize knowledge from text seamlessly. By combining advanced statistical and semantic techniques, Extraggo allows you to extract meaningful insights from text, regardless of the language used in the input data.
Modules
Domain Identification
Entity Linking
Extraggo links entities mentioned in the text to their corresponding entries in WordAtlas, ensuring accurate identification and contextual understanding of names, places, organizations, and other entities.
Word Sense Disambiguation
Extraggo interprets words in their context by leveraging the semantics embedded in your knowledge base and associating its most relevant concepts. This reduces ambiguities and enhances the clarity and relevance of the information processed, ensuring that each word is understood accurately within its context.
Key Concept and Entity Extraction
Extraggo identifies the most important concepts and entities within the text and assigns an importance score to each. This helps prioritize information and focus on the most critical elements for further analysis.
Knowledge Graph Creation
Extraggo constructs a visual, structural representation of concepts and entities and their mutual relations from a given text. Our innovative myKnowledgeGraph service allows you to connect multiple graphs created from various documents, producing an aggregated enterprise graph that provides a comprehensive view of your organizational knowledge.
Information, distilled
Thanks to its tight integration with WordAtlas and Comprehendo, Extraggo excels at processing text and extracting key insights from unstructured data. This capability enables semantically-boosted text analytics, regardless of the languages used in the input data.
Extraggo combines advanced statistical and semantic techniques seamlessly. Statistical machine learning identifies key terms within the input text, while semantic text understanding, provided by Comprehendo, links these terms to concepts and entities within the WordAtlas knowledge graph. Terms, concepts, and entities are then ranked by importance, and domain and sentiment information conveyed in the text is provided.
Use cases
Extraggo’s powerful ability to distill and organize knowledge from text has numerous practical applications across various industries.
Extraggo provides valuable insights and enhanced text analytics, enabling businesses and organizations to make informed decisions, identify trends, and uncover critical information from unstructured data.
Healthcare
Process medical literature, patient records, and clinical trial reports to extract critical insights. Extraggo can identify significant medical terms, diseases, and treatments, linking them to relevant concepts in the WordAtlas knowledge graph to support research and decision-making.
Legal Analysis
Sift through legal documents, case law, and contracts to extract pertinent information. Extraggo’s ability to link legal terms to specific entities and concepts ensures that crucial details are not overlooked, aiding in legal research and case preparation.
Financial Services
Analyze financial reports, news articles, and market analysis to gain insights into market trends and investment opportunities. Extraggo ranks important financial concepts and entities, providing a clear picture of market sentiment and domain-specific information.
Newspaper Industry
Analyze vast amounts of news articles, editorials, and reports to extract key themes and sentiments. Extraggo can identify important topics, events, and figures, linking them to relevant concepts in the WordAtlas knowledge graph, thereby helping journalists and editors to stay informed on current trends and enhance their reporting.
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