Graze provides a live stream of content relevant to the user's business. Relevant information from the media stream, industry discussion forums, blogs, social media, corporate websites and other high-volume data sets undergoes linguistic analysis to bring knowledge and insights about enterprises, topics, statistics and opinion mining. Organised in topics relevant to the context of the user’s business, Graze feeds news, data analysis and statistics instantaneously, across platforms and devices.
Graze gives its users the independence to be creative. This powerful tool for big data analysis browses through publicly-available data in search of content semantically similar to the user’s topics of interest.
Customers of this service can sample the media flow for their public image in the press.The news is screened in real time using the company’ s profile so that the user can get company related news only. This approach differs significantly from the current one which matches keywords to filter the news. ASSET monitors the company’s website to detect changes that automatically affect the company’s profile. Any news reporting the appointment of a new CEO or the start of a new project will be acknowledged by ASSET
The platform queries 1840 information channels, providing 31 000 articles totaling 15 500 000 words daily, runs search through Google and Bing every 30 min, performs Twitter search within 350 000 tweets per minute. Simultaneously, Graze runs linguistic analysis on these results to provide the user with content directly relevant to their business in real time.
Graze analyses multilingual data and feeds the user with semantically relevant content, generated by publishers in various language domains. The live feed is automatically translated by Graze to the user’s preferred language, enabling the user to browse through relevant content generated outside his normal scope of browsing. The platform currently provides content in English, French, German, Russian and Bulgarian, and can be expanded to include other languages.
The web search returns results that are semantically matched with dedicated profiles of interest. Organised in profiles, the data renders any information about rival products, competitors markets and scientific achievements highly usable and transparent. Graze categorises content in 185 categories to complement the specific profiles.
Graze analyses audio, video and text with linguistic technologies assigning context value to their content. Graze does automatic tagging to preserve as much context as possible unlike simple keyword tagging. Moreover, Graze automatically categorises audio, video and text data assigning them to multiple categories, generating an organisation of data based on similarity of content.
The collected information can be further analysed, explored and turned into a business asset:
Graze integrates innovative data processing and language technologies: a scalable content crawler, text mining semantic modelling, multilingual clustering and summarisation methods, rule-based and hybrid machine translation. Graze platform constitutes a complete end-to-end Big Data solution that can be configured to support the data processing needs of any organisation.