公开(公告)号：US06407679B1

公开(公告)日：2002-06-18

申请号：US09364433

申请日：1999-07-30

Applicant: Francine Evans ,  Steven Skiena ,  Amitabh Varshney

Inventor： Francine Evans ,  Steven Skiena ,  Amitabh Varshney

IPC: H03M1100

CPC classification number: G06F3/014

Abstract: A system and method for entering text in a virtual environment by sensory gloves. The user enters a key that represents one or more letters by simulating a press of a keyboard in the gloves. The user calibrates the gloves by entering text, during which time the system establishes threshold values that represent simulated presses for each finger. After the initial calibration of the sensory gloves, the user enters text with simulated finger presses. The system distinguishes which movements are intended as simulated finger presses by examining the relative motions of fingers and maintaining dynamic thresholds. Errors are alleviated by providing feedback to the user, such as beeps and a visual display of the fingers and the current text. Because keys may represent more than one character, the system determines the intended text by probabilistic analysis and the Viterbi algorithm.

Abstract translation: 通过感官手套在虚拟环境中输入文本的系统和方法。 用户通过模拟手套中的键盘按下来输入代表一个或多个字母的键。 用户通过输入文本校准手套，在此期间系统建立代表每个手指的模拟按压的阈值。 感官手套的初始校准后，用户用模拟手指按压输入文本。 该系统通过检查手指的相对运动并维持动态阈值来区分哪些运动旨在作为模拟手指按压。 通过向用户提供反馈来减轻错误，例如嘟嘟声和手指的视觉显示以及当前文本。 由于键可以表示多个字符，系统通过概率分析和维特比算法来确定预期文本。

公开(公告)号：US20080270116A1

公开(公告)日：2008-10-30

申请号：US11739187

申请日：2007-04-24

Applicant: Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

Inventor： Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

IPC: G06F17/27

CPC classification number: G06F17/21 ,  G06F17/279

Abstract: A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.

Abstract translation: 用于确定与实体相关联的情绪的方法包括输入与该实体相关联的多个文本，将多个文本中的种子字标注为正或负，基于标签确定多个单词的分数估计， 列举所述多个单词的路径并确定情绪交替的数量，使用只有多个交替数在阈值内的路径来确定所述多个单词的最终得分，将所述最终分数转换为所述多个单词中的每一个的相应z分数 的字，并输出与该实体相关联的情绪。

公开(公告)号：US08515739B2

公开(公告)日：2013-08-20

申请号：US13163636

申请日：2011-06-17

Applicant: Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

Inventor： Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

IPC: G06F17/27

CPC classification number: G06F17/21 ,  G06F17/279

Abstract: A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.

Abstract translation: 用于确定与实体相关联的情绪的方法包括输入与该实体相关联的多个文本，将多个文本中的种子字标注为正或负，基于标签确定多个单词的分数估计， 列举所述多个单词的路径并确定情绪交替的数量，使用只有多个交替数在阈值内的路径来确定所述多个单词的最终得分，将所述最终分数转换为所述多个单词中的每一个的相应z分数 的字，并输出与该实体相关联的情绪。

公开(公告)号：US20120046938A1

公开(公告)日：2012-02-23

申请号：US13163636

申请日：2011-06-17

Applicant: Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

Inventor： Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

IPC: G06F17/27

CPC classification number: G06F17/21 ,  G06F17/279

Abstract: A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.

Abstract translation: 用于确定与实体相关联的情绪的方法包括输入与该实体相关联的多个文本，将多个文本中的种子字标注为正或负，基于标签确定多个单词的分数估计， 列举所述多个单词的路径并确定情绪交替的数量，使用只有多个交替数在阈值内的路径来确定所述多个单词的最终得分，将所述最终分数转换为所述多个单词中的每一个的相应z分数 的字，并输出与该实体相关联的情绪。

公开(公告)号：US07996210B2

公开(公告)日：2011-08-09

申请号：US11739187

申请日：2007-04-24

Applicant: Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

Inventor： Namrata Godbole ,  Steven Skiena ,  Manjunath Srinivasaiah

IPC: G06F17/27

CPC classification number: G06F17/21 ,  G06F17/279

Abstract: A method for determining a sentiment associated with an entity includes inputting a plurality of texts associated with the entity, labeling seed words in the plurality of texts as positive or negative, determining a score estimate for the plurality of words based on the labeling, re-enumerating paths of the plurality of words and determining a number of sentiment alternations, determining a final score for the plurality of words using only paths whose number of alternations is within a threshold, converting the final scores to corresponding z-scores for each of the plurality of words, and outputting the sentiment associated with the entity.

Abstract translation: 用于确定与实体相关联的情绪的方法包括输入与该实体相关联的多个文本，将多个文本中的种子字标注为正或负，基于标签确定多个单词的分数估计， 列举所述多个单词的路径并确定情绪交替的数量，使用只有多个交替数在阈值内的路径来确定所述多个单词的最终得分，将所述最终分数转换为所述多个单词中的每一个的相应z分数 的字，并输出与该实体相关联的情绪。