Business
Gopher Protocol Developing Avant! AI Advanced Semantic Proximity System
Gopher Protocol Developing Avant! AI Advanced Semantic Proximity System.
About this update from Gbt Technologies Inc.
[{"type":"text","content":"\nSan Diego, CA, Nov. 01, 2018 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE -- Gopher Protocol Inc. (OTCQB: GOPH) (\"Gopher”), a company specializing in the creation of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, including a global platform with both mobile and fixed solutions, started developing Avant! AI advanced semantic proximity system.\n\n \n \n \n \n \n \n \n \n \n \n \n Gopher Protocol Inc.\n \n \n \n \n \n \n \n \n\n Global data is being generated in a variety of formats, and at a rate that shows no signs of slowing down. Identifying information that can support decision making among sources; for example, thousands of documents, web pages and social media feeds is a complex and time-consuming process. Because it’s simply too much to read quickly, this information is often ignored or only partially used to support organizational processes. Textual analytics help people digest text data more efficiently. Semantic proximity is a topic that belongs to context textual analytics. Semantic proximity is a calculation of the semantic “distance” between two entities within a sentence providing the ability to determine meanings. Avant! AI includes dynamic models to measure a sentence's structural proximity for knowledge extraction and link predictions. The technology enables measurement and prediction and allows for the elicitation, in particular, of data from textual, verbal and multimedia sources of heterogeneous information.  The engine will be capable to analyze the information and relationships in its semantic context, and among other textual/verbal/multimedia objects in order to extract the relevant structural knowledge and meanings.  The advanced algorithm is analyzing contexts in order to narrow down structures and find the exact topic. In addition, the technique improves the performances of meanings recognitions such as disambiguation of entities, query expansion, emotion recognition and multimedia retrieval. A typical semantic proximity technology is used to compute attributes of textual information only. Avant! system is a private derivative that expands the concept and includes much broader range of analytics and recognition of textual, verbal and multimedia entities.  \"We are creating a new world of textual, verbal and multimedia anal...