中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

27 records (took 0.054 seconds)

    PSYCHO-LINGUISTIC STATISTICAL DECEPTION DETECTION FROM TEXT CONTENT
    11.
    发明申请
    PSYCHO-LINGUISTIC STATISTICAL DECEPTION DETECTION FROM TEXT CONTENT 有权
    从文本内容检测心理语言统计学分析

    公开(公告)号：US20130046531A1

    公开(公告)日：2013-02-21

    申请号：US13520060

    申请日：2011-01-06

    Applicant: Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi

    Inventor： Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi

    IPC: G06F17/27

    CPC classification number: G06F17/2715 ,  G06F17/2785

    Abstract: An apparatus and method for determining whether a text is deceptive may comprise analyzing a body of textual content known to be one of text containing true content and text containing deceptive content; identifying psycho-linguistic cues that are indicative of a text being deceptive; statistically analyzing, via a computing device, a given text based upon the psycho-linguistic cues to determine if the text is deceptive. The apparatus and method may further comprise weighting the psycho-linguistic cues and statistically analyzing based on the weighted psycho-linguistic cues. The statistically analyzing step may be performed using one of a cue matching analysis, a weighted cue matching analysis, a Markov chain analysis, and a sequential probability ratio testing binary hypothesis analysis. The psycho-linguistic cues may be separated into categories, including increasing trend cues and decreasing trend cues and analyzed according to presence in a category from within the categories.

    Abstract translation: 用于确定文本是否具有欺骗性的装置和方法可以包括分析已知是包含真实内容的文本之一的文本内容和包含欺骗性内容的文本的主体; 识别表明文本是欺骗性的心理语言提示; 通过计算设备统计分析基于心理语言提示的给定文本，以确定文本是否具有欺骗性。 该装置和方法还可以包括基于加权心理语言线索来加权心理语言线索和统计分析。 统计分析步骤可以使用提示匹配分析，加权提示匹配分析，马尔科夫链分析和连续概率比测试二进制假设分析之一进行。 心理语言线索可以分为类别，包括增加趋势线索和减少趋势线索，并根据类别中的类别进行分析。

    SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING DECEPTION IN HUMAN COMMUNICATIONS EXPRESSED IN DIGITAL FORM
    15.
    发明申请
    SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING DECEPTION IN HUMAN COMMUNICATIONS EXPRESSED IN DIGITAL FORM 有权
    用于自动检测在数字表达中表达的人类通信中的拒绝的系统和方法

    公开(公告)号：US20130138428A1

    公开(公告)日：2013-05-30

    申请号：US13659445

    申请日：2011-04-26

    Applicant: Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi ,  Rohan Perera

    Inventor： Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi ,  Rohan Perera

    IPC: G06F17/28

    CPC classification number: G06F17/28 ,  G06F17/274 ,  G06F17/2785 ,  G06Q10/107 ,  H04L63/1416

    Abstract: An apparatus and method for determining whether text is deceptive has a computer programmed with software that automatically analyzes text in digital form by at least one of statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, authorship analysis, and analysis to detect coded/camouflaged messages. The computer has truth data against which the text message can be compared and a graphical user interface. The computer may be connectable to the Internet and may obtain the text automatically. Speech-to-text software may be used to convert verbal messages to text for analysis. The system may be made available on a webpage, web service, on a computer or by a wireless device. The text may be emails, website content, tweets. In one embodiment, the system detects coded messages (FIG. 19).

    Abstract translation: 用于确定文本是否具有欺骗性的装置和方法具有用软件编程的计算机，其通过至少一种心理语言提示，IP地理位置，性别分析，作者分析和分析的统计分析来自动分析数字形式的文本 检测编码/伪装消息。 计算机具有可以比较文本消息的真实数据和图形用户界面。 计算机可以连接到互联网，并可以自动获取文本。 语音到文本软件可用于将语言消息转换成文本进行分析。 系统可以在网页，web服务，计算机上或无线设备上可用。 文字可能是电子邮件，网站内容，推文。 在一个实施例中，系统检测编码消息（图19）。

    AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES
    16.
    发明申请
    AUTOMATED DETECTION OF DECEPTION IN SHORT AND MULTILINGUAL ELECTRONIC MESSAGES 审中-公开
    自动检测短暂的电子消息和多电子信息

    公开(公告)号：US20120254333A1

    公开(公告)日：2012-10-04

    申请号：US13455862

    申请日：2012-04-25

    Applicant: Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi ,  Peng Hao ,  Na Cheng ,  Rohan Perera

    Inventor： Rajarathnam Chandramouli ,  Xiaoling Chen ,  Koduvayur P. Subbalakshmi ,  Peng Hao ,  Na Cheng ,  Rohan Perera

    IPC: G06F15/16

    CPC classification number: G06N5/04 ,  G06F17/21 ,  G06F17/27 ,  G06F17/28 ,  G06N20/00 ,  G06Q10/107

    Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

    Abstract translation: 用于自动识别有害电子信息的方法和装置，例如在Craigslist或Twitter，Facebook和其他社交媒体网站上呈现的电子邮件中的有害电子信息的特征方法，用于区分不期望的垃圾通信（垃圾邮件）和不需要的欺骗性消息（欺诈） ，基于每种类型的电子通信样本可辨别的模式的真实通信。 提出了一种方法，可以通过简短的电子消息（例如在Twitter上）和多语言应用程序来区分来自不需要的通信的想要的内容。

Patent Agency Ranking