The document describes a linguistic algorithm that analyzes 190 million health records, 900 million user profiles with geotags and short info, and 100 million tweets to identify positive or negative mentions of flu symptoms using geotags. The algorithm examines user posts for mentions of having the flu, feeling sick, or being tired of the flu and associates any related geotags to locate public discussions of flu outbreaks.
Победители "Золотого Байта-2014" Andres Jakovlev и Iris MüntelGoldenByte2014
The document proposes a web-based profile service called CodeOf.me that would provide quick and convenient access to important user information. It would allow users to easily create and update their profiles online, making the information accessible to everyone and reusable across different devices. The service already has a functional web application and business plan developed, but is seeking time and leadership to further develop the project and find investors.
The document describes the Familiar Reader app for Windows Phone 8. It allows users to read ebooks in the FB2 format and customize font settings. The app provides access to books stored locally on the phone or in cloud services like SkyDrive and Dropbox. It includes features like notes, bookmarks, searching, and social sharing on Twitter and Facebook. The app was created by Natalia Babchinskaya using technologies like C#, XAML, HTML, and CSS.
The document describes a linguistic algorithm that analyzes 190 million health records, 900 million user profiles with geotags and short info, and 100 million tweets to identify positive or negative mentions of flu symptoms using geotags. The algorithm examines user posts for mentions of having the flu, feeling sick, or being tired of the flu and associates any related geotags to locate public discussions of flu outbreaks.
Победители "Золотого Байта-2014" Andres Jakovlev и Iris MüntelGoldenByte2014
The document proposes a web-based profile service called CodeOf.me that would provide quick and convenient access to important user information. It would allow users to easily create and update their profiles online, making the information accessible to everyone and reusable across different devices. The service already has a functional web application and business plan developed, but is seeking time and leadership to further develop the project and find investors.
The document describes the Familiar Reader app for Windows Phone 8. It allows users to read ebooks in the FB2 format and customize font settings. The app provides access to books stored locally on the phone or in cloud services like SkyDrive and Dropbox. It includes features like notes, bookmarks, searching, and social sharing on Twitter and Facebook. The app was created by Natalia Babchinskaya using technologies like C#, XAML, HTML, and CSS.