Profile of Shanghai Intelligent Starshine Information Technology Co., Ltd

As a world leading text data service providers, Shanghai Intelligent Starshine aims to provide global high-level service platform of big data mining and? information precision. Beijing Intelligent Starshine founded in February 2012. It has 3 filiales.Its headquarter is located in core area of Beijing Zhongguancun High-tech Industrial Park, and has Hebei branch and 31 offices distributed in Sichuan, Shanxi, Chongqing, Jilin, Jiangsu, Guizhou, Shandong, etc., with over 500 staff.

? Shanghai Intelligent Starshine is the largest public opinion service provider and the leading firm of unstructured big data technology and application service. It has large-scale Chinese text data center, withover 1500 billion total data, 200 million of daily new data and over 20000 users.

? Shanghai Intelligent Starshine is the first big data company in China?applying the cloud computing, big data technology, artificial intelligence and SaaS model?to Internet information service, text data, and public opinion service.?It has formed a multidimensional business system? integrated with standardized application product, data service, big data report and? industry application solutions, and? established text data ecosphere to realize information effective?symmetry and data value maximization.

Technical Strength 3 large server rooms, over 1000 servers, supporting millions of users International leading and domestic initiative CII Cloud Intelligent Information platform The first company in China to provide service using big data technology and SAAS model All products with independent intellectual property rights and software patent technology Information mining capacity (Event sourcing, Event propagation analysis, Data visualization, etc.) Original text processing ability (2 million articles per minute VS 2000 articles per minute) Intelligent Precision Processing mechanism (Automatic warning accuracy of 90%) Near Human emotion recognition ( regional, name, semantic recognition accuracy of 99%, negative article recognition rate as high as 97%)