http://www.hstoday.us/single-article/basis-technology-platform-provides-monitoring-of-social-media/517980c4b90392d6a42948211c5c3c92.html



*Basis Technology Platform Provides Monitoring Of Social Media*

By: Kylie Bull, Contributing Editor

05/08/2014 (10:19am)

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Basis Technology, a specialist in multilingual search and text analytics,
has integrated the Rosette linguistics platform with the Historise Social
Media Monitoring System to enable culturally-sensitive monitoring of social
media.



Rosette from Basis Technology provides the advanced linguistic analysis and
delivers faster and more accurate search results whether searching within a
language or across multiple languages.  It is designed to integrate
seamlessly with all major open source search engines -- including Lucene,
Elasticsearch, Solr and Sphinx -- along with a wide range of enterprise
applications.



The Historise Social Media Monitoring System (part of the Historise
Reputation Management System) raises the monitoring of social media
channels to a new level by providing the most complete picture of brand,
person and company mentions in social media with subsequent in-depth
analysis of the data in real time. Elasticsearch and Apache Nutch are used
in tandem to collect and search blog posts, wikis, news stories, social
networks, shared photos/videos, forums and message boards.



The Rosette linguistics platform provides morphological analysis, entity
extraction, name matching, name translation and Arabic chat translation,
yielding useful information from unstructured data in such fields as
information retrieval, government intelligence, e-discovery and financial
compliance. The digital forensics team pioneers better, faster and cheaper
techniques to extract forensic evidence, keeping government and law
enforcement ahead of the exponential growth of data storage volumes.



Historise Ltd focuses on developing multilingual software for the
monitoring and analysis of Big Data. The Historise Social Monitoring system
uses large volumes of data to predict the behavior of Internet users, and
calculate their future interest in a particular topic.




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