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公开(公告)号：US10394864B2
公开(公告)日：2019-08-27
申请号：US15307058
申请日：2014-07-29
Inventor： Soo Won Lee , Joon Ho Noh
Abstract: A method and a server for extracting a topic and evaluating suitability of the extracted topic are disclosed. The topic extraction server includes a text preprocessing unit configured to extract noun from a document group and remove stopword from the extracted noun, a keyword extraction unit configured to calculate a weight of a noun and extracting a keyword representing the document group, a seed selection unit configured to calculate a weight of the extracted keyword and select a seed, an initial clustering unit configured to generate one cluster including the selected seed and a keyword shown by several times in a sentence including the selected seed, and a cluster combination unit configured to extract a topic group.
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2.发明授权Apparatus and method for predicting the pleasantness-unpleasantness index of words using relative emotion similarity 有权使用相对情感相似度预测词语愉悦度不愉快指数的装置和方法公开(公告)号：US09384189B2
公开(公告)日：2016-07-05
申请号：US14519801
申请日：2014-10-21
Inventor： Soo Won Lee , Kang Bok Lee
CPC classification number: G06F17/2785 , G06F17/30687 , G06Q10/04 , G10L25/63
Abstract: An apparatus and a method for predicting the pleasantness-unpleasantness index of words are disclosed. The disclosed apparatus includes: a computing unit configured to compute an emotion correlation between a word and one or more comparison word, compute emotion correlations between multiple reference words included in a reference word set and the one or more comparison word, compute multiple first absolute emotion similarity values between the word and the multiple reference words, and compute at least one second absolute emotion similarity value between a reference word and another reference word for all of the reference words included in the reference word set; and a prediction unit configured to predict the pleasantness-unpleasantness index of the word by using the multiple number of first absolute emotion similarity values, the at least one second absolute emotion similarity value, and a preset pleasantness-unpleasantness index of the multiple number of reference words.
Abstract translation: 公开了一种用于预测词汇愉悦度不愉快指数的装置和方法。 所公开的装置包括：计算单元，被配置为计算单词与一个或多个比较词之间的情感相关性，计算包括在参考词组中的多个参考词与一个或多个比较词之间的情感相关性，计算多个第一绝对情感 所述单词和所述多个参考词之间的相似度值，并且对于包括在所述参考词组中的所有参考词，计算参考词与另一参考词之间的至少一个第二绝对情感相似度值; 以及预测单元，被配置为通过使用多个第一绝对情感相似度值，所述至少一个第二绝对情感相似度值和多个参考的预设愉悦度令人不愉快度指数来预测单词的令人愉悦不愉快指数 话。
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公开(公告)号：US10185996B2
公开(公告)日：2019-01-22
申请号：US15210900
申请日：2016-07-15
Inventor： Soo Won Lee , Jang Yun Um
Abstract: Provided are a method and a system for predicting stock fluctuation prediction. A system for predicting stock fluctuation according to an embodiment of the present invention includes: a data collector and a preprocessor collecting news and KOSPI data and extracting words from the collected news through stopword removal and morphologic analysis, a sentiment dictionary constructor selecting sentiment words and calculating sentiment values of the sentiment words to construct a sentiment dictionary of a stock domain required for stock prediction, and a stock fluctuation prediction model constructor predicting fluctuation of a closing price of a next day to a closing price of a current day by combining a prediction model using the constructed sentiment dictionary and an ARIMA prediction model using the KOSPI data.
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4.发明申请APPARATUS AND METHOD FOR PREDICTING THE PLEASANTNESS-UNPLEASANTNESS INDEX OF WORDS USING RELATIVE EMOTION SIMILARITY 有权使用相对激励相似性预测词汇的轻松不确定性指标的装置和方法公开(公告)号：US20160062989A1
公开(公告)日：2016-03-03
申请号：US14519801
申请日：2014-10-21
Inventor： Soo Won Lee , Kang Bok Lee
CPC classification number: G06F17/2785 , G06F17/30687 , G06Q10/04 , G10L25/63
Abstract: An apparatus and a method for predicting the pleasantness-unpleasantness index of words are disclosed. The disclosed apparatus includes: a computing unit configured to compute an emotion correlation between a word and one or more comparison word, compute emotion correlations between multiple reference words included in a reference word set and the one or more comparison word, compute multiple first absolute emotion similarity values between the word and the multiple reference words, and compute at least one second absolute emotion similarity value between a reference word and another reference word for all of the reference words included in the reference word set; and a prediction unit configured to predict the pleasantness-unpleasantness index of the word by using the multiple number of first absolute emotion similarity values, the at least one second absolute emotion similarity value, and a preset pleasantness-unpleasantness index of the multiple number of reference words.
Abstract translation: 公开了一种用于预测词汇愉悦度不愉快指数的装置和方法。 所公开的装置包括：计算单元，被配置为计算单词与一个或多个比较词之间的情感相关性，计算包括在参考词组中的多个参考词与一个或多个比较词之间的情感相关性，计算多个第一绝对情感 所述单词和所述多个参考词之间的相似度值，并且对于包括在所述参考词组中的所有参考词，计算参考词与另一参考词之间的至少一个第二绝对情感相似度值; 以及预测单元，被配置为通过使用多个第一绝对情感相似度值，所述至少一个第二绝对情感相似度值和多个参考的预设愉悦度令人不愉快度指数来预测单词的令人愉悦不愉快指数 话。
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