发明名称 Method, system and apparatus for identifying and parsing social media information for providing business intelligence
摘要 A method, system and apparatus are provided to identify, collect and parse content for business intelligence. Particularly, the method, system and apparatus provide for deriving, over a communication network, knowledge from information indicative of human communication, emotions, reactions, and experiences to evaluate trends and decisions that impact business. Also, a system, method and apparatus are provided for processing and analyzing social media conversations via one or more modules communicating with a social cognition technology platform. A module according to an exemplary implementation of the present invention, implements next-generation business intelligence that finds, aggregates, and interprets an exhaustive source of digital Internet content (such as textual and voice conversational, and word-of-mouth content) in conjunction with a social cognition technology platform.
申请公布号 US9177060(B1) 申请公布日期 2015.11.03
申请号 US201213422779 申请日期 2012.03.16
申请人 发明人 Bennett Michele;Vincent Armon;Dingle Jeff;Reese Charles Scott
分类号 G06F17/30 主分类号 G06F17/30
代理机构 Dickinson Wright PLLC 代理人 Dickinson Wright PLLC
主权项 1. A method for processing and analyzing content from at least one Website on a communication network, the method comprising steps for: receiving instructions, via a graphical user interface (GUI) executed by a server, to conduct a search for at least one keyword on the communication network; launching a Web crawler, by the server, to search a plurality of Websites for at least one Website having content that includes said at least one keyword;identifying Websites comprising at least one comment container, wherein said comment container includes at least one conversation; creating a unique xpath, by the server, to said at least one comment container of each identified Website of said Websites, wherein the unique xpath comprises an extraction string dynamically generated to identify at least one of how to find comments, the date of a post on the Website, IP address, user name, and location; saving, in a database, the unique xpath created for said at least one comment container of said each identified Website; detecting using the unique xpath at least one conversation that includes the at least one keyword from search of a content of said comment container of said each Website accessible only by said unique xpath; saving only a portion of the content of said comment container from said each Website that includes the at least one keyword along with information associated to each conversation of said identified conversation; assigning, via a server, a categorical topic for said each conversation; assigning, via a server, a sentiment for said each conversation; and generating at least one report, by the server, providing selected information related to said each conversation, along with categorical topic and sentiment for said each conversation, wherein the method is computer implemented, and wherein said assigning the sentiment comprises assigning a positive or negative value along a range, based on the words comprised in the content of the Website.
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