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Episode 10 of 95

Endica topical search

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station description Machine learning is the most important technological breakthrough in the 21st centu... read more
Machine learning
Duration: 37:26
Lexalytics solves understanding text. Lexalytics analyzes text using its engine called salience. Lexalytics uses wikipedia for categorization.  Text analytics include extracting information from content. Lexalytics uses the data to create predictive models. It also can interpret and respond to queri
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Lexalytics solves understanding text. Lexalytics analyzes text using its engine called salience. Lexalytics uses wikipedia for categorization.  Text analytics include extracting information from content. Lexalytics uses the data to create predictive models. It also can interpret and respond to queries.

Endeca built a search engine that can analyze data either structured or non-structured data. Endeca had success in the commerce world: brand, price ranges, features until you find the product desired. Endeca summerizes the unstructured text and categorizes it into hierarchies. Endeca expanded to data warehouse, social media content, and crms. There is more data to be analyzed today and endeca wants to be positioned to be the tool for analyzing it. Social data is being combined with crm, datawarehouse, ecommerce and web, and hr data.

Intelligence space: social conversations are being analyzed by endeca to understanding what people are saying about events. Police are using social conversations for content and crime identification and event analysis. terrorist incidences and what people are saying about those incidences.

Sentiment: social conversations are being analyzed for sentiment about nato events. Traffic is analyzed and sentiment is analyzed by time. 60 attributes are being collected and analyzed and the tweet locations are collecting and mapped to a region.

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