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    • 7. 发明申请
    • REAL-TIME NATURAL LANGUAGE PROCESSING OF DATASTREAMS
    • DATASTREAMS的实时自然语言处理
    • US20150019203A1
    • 2015-01-15
    • US13992406
    • 2011-12-28
    • Elliot SmithVictor Szilagyi
    • Elliot SmithVictor Szilagyi
    • G06F17/28G06F3/048
    • G06F17/28G06F3/048G06F17/27G06F17/30684G06F17/30796H04N21/4126H04N21/4355H04N21/4722H04N21/8405
    • Systems and methods for identifying and locating related content using natural language processing are generally disclosed herein. One embodiment includes an HTML5/JavaScript user interface configured to execute scripting commands to perform natural language processing and related content searches, and to provide a dynamic interface that enables both user-interactive and automatic methods of obtaining and displaying related content. The natural language processing may extract one or more context-sensitive key terms of text associated with a set of content. Related content may be located and identified using keyword searches that include the context-sensitive key terms. For example, text associated with video of a first content, such as text originating from subtitles or closed captioning, may be used to perform searches and locate related content such as a video of a second content, or text of a third content.
    • 本文通常公开了使用自然语言处理来识别和定位相关内容的系统和方法。 一个实施例包括被配置为执行脚本命令以执行自然语言处理和相关内容搜索的HTML5 / JavaScript用户界面,并且提供能够实现用户交互和自动获取和显示相关内容的方法的动态界面。 自然语言处理可以提取与一组内容相关联的文本的一个或多个上下文相关关键词。 可以使用包括上下文相关关键词的关键词搜索来定位和标识相关内容。 例如,可以使用与第一内容的视频相关联的文本,例如源自字幕的文本或隐藏字幕,来执行搜索并定位诸如第二内容的视频或第三内容的文本的相关内容。