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    Causal Modeling and Attribution
    1.
    发明申请
    Causal Modeling and Attribution 审中-公开
    因果建模与归因

    公开(公告)号：US20150286928A1

    公开(公告)日：2015-10-08

    申请号：US14244755

    申请日：2014-04-03

    Applicant: Adobe Systems Incorporated

    Inventor： Emre Demiralp ,  Walter W. Chang

    IPC: G06N5/02 ,  H04L29/08

    CPC classification number: H04L67/10 ,  G06N5/02

    Abstract: In techniques for causal modeling and attribution, a causal modeling application implements a dynamical causal modeling framework. Input data is received as a representation of communications between users, such as social media interactions between social media users, and causal relationships between the users can be determined based in part on the input data that represents the communications. Influence variables, such as exogenous variables and/or endogenous variables, can also be determined that influence the causal relationships between the users. A causal relationships model is generated based on the influence variables and the causal relationships between the users, where the causal relationships model is representative of causality, influence, and attribution between the users.

    Abstract translation: 在因果建模和归因技术中，因果建模应用程序实现了动态因果建模框架。 接收输入数据作为用户之间的通信的表示，例如社交媒体用户之间的社交媒体交互，并且可以部分地基于表示通信的输入数据来确定用户之间的因果关系。 也可以确定影响用户之间的因果关系的影响变量，如外生变量和/或内生变量。 因果关系模型是基于用户之间的影响变量和因果关系产生的，其中因果关系模型代表了因果关系，影响力和用户之间的归因。

    Natural Language Vocabulary Generation and Usage
    2.
    发明申请
    Natural Language Vocabulary Generation and Usage 有权
    自然语言词汇生成与使用

    公开(公告)号：US20140081626A1

    公开(公告)日：2014-03-20

    申请号：US13683509

    申请日：2012-11-21

    Applicant: ADOBE SYSTEMS INCORPORATED

    Inventor： Walter W. Chang ,  Gregg D. Wilensky ,  Lubomira A. Dontcheva

    IPC: G06F17/28

    CPC classification number: G06F17/28 ,  G06F17/2735 ,  G06F17/2785 ,  G06F17/2795

    Abstract: Natural language vocabulary generation and usage techniques are described. In one or more implementations, one or more search results are mined for a domain to determine a frequency at which words occur in the one or more search results, respectively. A set of the words is selected based on the determined frequency. A sense is assigned to each of the selected set of the words that identifies a part-of-speech for a respective word. A vocabulary is then generated that includes the selected set of the words and a respective said sense, the vocabulary configured for use in natural language processing associated with the domain.

    Abstract translation: 描述自然语言词汇生成和使用技术。 在一个或多个实现中，为一个域开采一个或多个搜索结果，以分别确定在一个或多个搜索结果中发生单词的频率。 基于确定的频率来选择一组单词。 将识别分配给识别相应词的词性的所选择的一组词中的每一个。 然后生成包括所选择的单词集合和相应的所述感觉的词汇，所述词汇被配置为在与域相关联的自然语言处理中使用。

    Natural language vocabulary generation and usage
    4.
    发明授权
    Natural language vocabulary generation and usage 有权
    自然语言词汇生成和使用

    公开(公告)号：US09588964B2

    公开(公告)日：2017-03-07

    申请号：US13683509

    申请日：2012-11-21

    Applicant: Adobe Systems Incorporated

    Inventor： Walter W. Chang ,  Gregg D. Wilensky ,  Lubomira A. Dontcheva

    IPC: G06F17/27 ,  G06F17/28

    CPC classification number: G06F17/28 ,  G06F17/2735 ,  G06F17/2785 ,  G06F17/2795

    Abstract: Natural language vocabulary generation and usage techniques are described. In one or more implementations, one or more search results are mined for a domain to determine a frequency at which words occur in the one or more search results, respectively. A set of the words is selected based on the determined frequency. A sense is assigned to each of the selected set of the words that identifies a part-of-speech for a respective word. A vocabulary is then generated that includes the selected set of the words and a respective said sense, the vocabulary configured for use in natural language processing associated with the domain.

    Abstract translation: 描述自然语言词汇生成和使用技术。 在一个或多个实现中，为一个域开采一个或多个搜索结果，以分别确定在一个或多个搜索结果中发生单词的频率。 基于确定的频率来选择一组单词。 将识别分配给识别相应词的词性的所选择的一组词中的每一个。 然后生成包括所选择的单词集合和相应的所述感觉的词汇，所述词汇被配置为在与域相关联的自然语言处理中使用。

    Augmenting Text with Multimedia Assets
    8.
    发明申请
    Augmenting Text with Multimedia Assets 审中-公开

    公开(公告)号：US20180189247A1

    公开(公告)日：2018-07-05

    申请号：US15906388

    申请日：2018-02-27

    Applicant: Adobe Systems Incorporated

    Inventor： Emre Demiralp ,  Gavin Stuart Peter Miller ,  Walter W. Chang ,  Grayson Squier Lang ,  Daicho Ito

    IPC: G06F17/22 ,  G06F17/27 ,  G06F17/30

    CPC classification number: G06F17/2235 ,  G06F16/00 ,  G06F17/2765

    Abstract: Systems and methods are provided for providing a navigation interface to access or otherwise use electronic content items. In one embodiment, an augmentation application identifies at least one entity referenced in a document. The entity can be referenced in at least two portions of the document by at least two different words or phrases. The augmentation application associates the at least one entity with at least one multimedia asset. The augmentation application generates a layout including at least some content of the document referencing the at least one entity and the at least one multimedia asset associated with the at least one entity. The augmentation application renders the layout for display.

    CONTEXTUAL SENTIMENT TEXT ANALYSIS
    10.
    发明申请
    CONTEXTUAL SENTIMENT TEXT ANALYSIS 审中-公开
    背景说明文本分析

    公开(公告)号：US20150286627A1

    公开(公告)日：2015-10-08

    申请号：US14244665

    申请日：2014-04-03

    Applicant: Adobe Systems Incorporated

    Inventor： Walter W. Chang ,  Emre Demiralp ,  Shantanu Kumar ,  Shanshan Xia

    IPC: G06F17/27 ,  G06F17/28

    CPC classification number: G06F17/2705 ,  G06F17/2765 ,  G06F17/2785

    Abstract: In techniques for contextual sentiment text analysis, a sentiment analysis application is implemented to receive sentences as text data, and each of the sentences can include one or more sentiments about a subject of the sentence. The text data can be received as part-of-speech information that includes noun expressions, verb expressions, and tagged parts-of-speech of the sentences. The sentiment analysis application is implemented to analyze the text data to identify the sentiment about the subject of a sentence, and determine a context of the sentiment as the sentiment pertains to a topic category of the subject in the sentence, where the topic category of the subject is determined based on text categorization of the text data. The sentiment analysis application can also determine whether the sentiment is positive about the subject or negative about the subject based on the context of the sentiment within the topic category of the subject.

    Abstract translation: 在用于情境情感文本分析的技术中，实施情绪分析应用以接收句子作为文本数据，并且每个句子可以包括关于该句子的主题的一个或多个情绪。 可以将文本数据作为语音信息接收，该信息包括句子的名词表达，动词表达和标记的词性部分。 实施情绪分析应用程序来分析文本数据以识别关于句子主题的情绪，并且根据句子中的主题的主题类别来确定情绪的上下文，其中主题类别 主题是根据文本数据的文本分类确定的。 情绪分析应用程序还可以根据主题的主题类别中情绪的上下文来确定情绪对主题是否正面或负面。

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