NEXYTE Product Description Page 17 Search Results with Persons, tag indicators and next step options 4.2 AI Enrichments & ML-Powered Analytics NEXYTE applies powerful analytics tools, AI and machine learning processes to the organization’s data pool. Dedicated machine learning models address each source type (text, audio, image, video) to automatically extract information and apply extensive investigation analytics. Machine learning algorithms and rule-based models generate intelligence-oriented results and insights that are aligned with the customer mandate and focus areas. 4.2.1 Text Analytics NEXYTE applies ML-powered text analytics for entity and metadata enrichment with intelligence extracted from the analyzed text. Textual analytics includes: • Entity extraction. Identifying, extracting and defining of new entities from the analyzed text. • Key-phrase extraction. Identifying, extracting and linking of key phrases • Text categorization. Classifying text into organized groups and tagging according to content. • Sentiment analysis. Identifying supposed types of sentiment based on textual content. • Language identification & Automatic translation. Identifying text language and applying automated translation per customer defined needs, ensuring that users can reach all system documents by searching in the native language as well as by searching in the original text language. • Summarization. Distilling the most important information from the text source to create an abstract of the content. • Entity Linking. Matching of text-extracted entities with system entities. • Inferred relations. Mapping links between entities based on entity instances detected in the text.