JP2015164008A5 - - Google Patents
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- JP2015164008A5 JP2015164008A5 JP2014039453A JP2014039453A JP2015164008A5 JP 2015164008 A5 JP2015164008 A5 JP 2015164008A5 JP 2014039453 A JP2014039453 A JP 2014039453A JP 2014039453 A JP2014039453 A JP 2014039453A JP 2015164008 A5 JP2015164008 A5 JP 2015164008A5
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- 238000004458 analytical method Methods 0.000 claims 21
- 230000011218 segmentation Effects 0.000 claims 9
Claims (14)
前記発言情報を収集する収集部と、
前記発言の内容における特定のキーワードの出現を分析する分析部と、
前記特定のキーワードの出現の分析に基づいて前記内容を発言した前記複数のユーザをセグメント化するセグメント化部と、
前記発言間の関係情報に基づいて前記発言した前記複数のユーザ間の関係を有向グラフ化するグラフ作成部と、
前記セグメント化部のセグメント化に関する情報と前記グラフ作成部の有向グラフ化に関する情報とに基づいてユーザ間の関係に関する情報を算出する算出部と、
を有することを特徴とする解析装置。 In a speech information analyzing apparatus including the content of a plurality of user speeches and the relationship information between the speeches,
A collection unit for collecting the remark information;
An analysis unit for analyzing the appearance of a specific keyword in the content of the statement;
A segmenting unit for segmenting the plurality of users who have spoken the content based on an analysis of the appearance of the specific keyword;
A graph creation unit for creating a directed graph of the relationship between the plurality of users who have made a statement based on the relationship information between the statements;
A calculation unit for calculating information on a relationship between users based on information on segmentation of the segmentation unit and information on directed graphing of the graph creation unit;
The analysis apparatus characterized by having.
前記セグメント化部は、
前記発言の内容に含まれる前記嗜好キーワードまたは嗜好キーワードに関連する単語の出現頻度に基づいて前記ユーザそれぞれの嗜好の強さを表す嗜好度を算出し、
前記算出した嗜好度に基づいて前記複数のユーザをセグメント化すること
を特徴とする請求項１に記載の解析装置。 The specific keyword is a preference keyword or a word related to the preference keyword,
The segmenting unit includes:
Calculating a preference degree representing the strength of each user's preference based on the appearance frequency of the preference keyword or the word related to the preference keyword included in the content of the remark;
The analysis apparatus according to claim 1, wherein the plurality of users are segmented based on the calculated preference degree.
前記グラフ作成部は、前記発言間の引用を有向グラフ化し、
前記算出部は、前記有向グラフの数に基づいてユーザ間の影響力を算出すること
を特徴とする請求項１に記載の解析装置。 The utterance information is social media, and the relationship information between the utterances includes citations and the number of citations,
The graph creation unit converts the citation between the statements into a directed graph,
The analysis device according to claim 1, wherein the calculation unit calculates influence between users based on the number of the directed graphs.
前記表示した指示内容に応じたセグメントを選択し、
前記選択されたセグメントの範囲を表す図形と、前記選択されたセグメントに含まれるユーザを表す図形と、前記選択されたセグメントに含まれるユーザの関係を表す有向グラフを表す図形を表示する表示部
をさらに有することを特徴とする請求項１に記載の解析装置。 Displays instructions for selecting a specific segment from the segments,
Select a segment according to the displayed instruction content,
A display unit for displaying a graphic representing the range of the selected segment, a graphic representing a user included in the selected segment, and a graphic representing a directed graph representing a user relationship included in the selected segment; The analysis apparatus according to claim 1, comprising:
前記表示した指示内容に応じたセグメントを選択し、
前記選択されたセグメントに含まれるユーザの関係を表す有向グラフを前記選択されたセグメント間でまとめ、
前記選択されたセグメントを表す図形と、前記まとめたセグメント間の有向グラフを表す図形を表示する表示部
をさらに有することを特徴とする請求項１に記載の解析装置。 Displays instructions for selecting a specific segment from the segments,
Select a segment according to the displayed instruction content,
A directed graph representing user relationships included in the selected segment is collected between the selected segments;
The analysis apparatus according to claim 1, further comprising a display unit configured to display a graphic representing the selected segment and a graphic representing a directed graph between the collected segments.
前記分析部は前記通知された日時より所定期間前を分析し、
前記セグメント化部は前記通知されたキーワードに基づいてセグメント化すること
を特徴とする請求項１に記載の解析装置。 A comparison unit that collects time-series data, detects a change in the collected time-series data, notifies a date and time of the detected change to the analysis unit, and notifies a keyword related to the detected change to a segmentation unit Further comprising
The analysis unit analyzes a predetermined period before the notified date and time,
The analysis device according to claim 1, wherein the segmenting unit performs segmentation based on the notified keyword.
前記発言情報を収集する収集ステップと、
前記発言の内容における特定のキーワードの出現を分析する分析ステップと、
前記特定のキーワードの出現の分析に基づいて前記内容を発言した前記複数のユーザをセグメント化するセグメント化ステップと、
前記発言間の関係情報に基づいて前記発言した前記複数のユーザ間の関係を有向グラフ化するグラフ作成ステップと、
前記セグメント化ステップのセグメント化に関する情報と前記グラフ作成ステップの有向グラフ化に関する情報とに基づいてユーザ間の関係に関する情報を算出する算出ステップと、
を有することを特徴とする解析方法。 A method for analyzing utterance information including the content of utterances of a plurality of users and relation information between the utterances,
A collecting step of collecting the remark information;
An analysis step of analyzing the appearance of a specific keyword in the content of the statement;
A segmentation step of segmenting the plurality of users who have spoken the content based on an analysis of the occurrence of the specific keyword;
A graph creation step for creating a directed graph of the relationship between the plurality of users who have made a statement based on the relationship information between the statements;
A calculation step for calculating information on a relationship between users based on information on segmentation in the segmentation step and information on directed graphing in the graph creation step ;
The analysis method characterized by having.
前記セグメント化ステップは、
前記発言の内容に含まれる前記嗜好キーワードまたは嗜好キーワードに関連する単語の出現頻度に基づいて前記ユーザそれぞれの嗜好の強さを表す嗜好度を算出し、
前記算出した嗜好度に基づいて前記複数のユーザをセグメント化すること
を特徴とする請求項８に記載の解析方法。 The specific keyword is a preference keyword or a word related to the preference keyword,
The segmentation step includes
Calculating a preference degree representing the strength of each user's preference based on the appearance frequency of the preference keyword or the word related to the preference keyword included in the content of the remark;
The analysis method according to claim 8, wherein the plurality of users are segmented based on the calculated preference degree.
前記グラフ作成ステップは、前記発言間の引用を有向グラフ化し、
前記算出ステップは、前記有向グラフの数に基づいてユーザ間の影響力を算出すること
を特徴とする請求項８に記載の解析方法。 The utterance information is social media, and the relationship information between the utterances includes citations and the number of citations,
In the graph creation step, the citation between the statements is converted into a directed graph,
The analysis method according to claim 8, wherein the calculating step calculates influence between users based on the number of the directed graphs.
前記表示した指示内容に応じたセグメントを選択し、
前記選択されたセグメントの範囲を表す図形と、前記選択されたセグメントに含まれるユーザを表す図形と、前記選択されたセグメントに含まれるユーザの関係を表す有向グラフを表す図形を表示する表示ステップ
をさらに有することを特徴とする請求項８に記載の解析方法。 Displays instructions for selecting a specific segment from the segments,
Select a segment according to the displayed instruction content,
A display step for displaying a graphic representing the range of the selected segment, a graphic representing a user included in the selected segment, and a graphic representing a directed graph representing a user relationship included in the selected segment; The analysis method according to claim 8, further comprising:
前記表示した指示内容に応じたセグメントを選択し、
前記選択されたセグメントに含まれるユーザの関係を表す有向グラフを前記選択されたセグメント間でまとめ、
前記選択されたセグメントを表す図形と、前記まとめたセグメント間の有向グラフを表す図形を表示する表示ステップ
をさらに有することを特徴とする請求項８に記載の解析方法。 Displays instructions for selecting a specific segment from the segments,
Select a segment according to the displayed instruction content,
A directed graph representing user relationships included in the selected segment is collected between the selected segments;
The analysis method according to claim 8, further comprising a display step of displaying a graphic representing the selected segment and a graphic representing a directed graph between the collected segments.
前記分析ステップは前記検知された変化の日時より所定期間前を分析し、
前記セグメント化ステップは前記検知された変化に関するキーワードに基づいてセグメント化すること
を特徴とする請求項８に記載の解析方法。 Further comprising a comparison step of collecting time series data and detecting a change in the collected time series data;
The analysis step analyzes a predetermined period before the date and time of the detected change,
9. The analysis method according to claim 8, wherein the segmenting step performs segmentation based on a keyword related to the detected change.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014039453A JP6182478B2 (en) | 2014-02-28 | 2014-02-28 | Analysis apparatus and analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014039453A JP6182478B2 (en) | 2014-02-28 | 2014-02-28 | Analysis apparatus and analysis method |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2015164008A JP2015164008A (en) | 2015-09-10 |
| JP2015164008A5 true JP2015164008A5 (en) | 2016-08-25 |
| JP6182478B2 JP6182478B2 (en) | 2017-08-16 |
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| Application Number | Title | Priority Date | Filing Date |
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| JP2014039453A Expired - Fee Related JP6182478B2 (en) | 2014-02-28 | 2014-02-28 | Analysis apparatus and analysis method |
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| JP (1) | JP6182478B2 (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017091054A (en) * | 2015-11-05 | 2017-05-25 | Ｎｅｃパーソナルコンピュータ株式会社 | Advertising system and advertisement distributing method |
| JP6341899B2 (en) * | 2015-11-13 | 2018-06-13 | Ｎｅｃパーソナルコンピュータ株式会社 | Advertisement system and advertisement delivery method |
| KR101946842B1 (en) * | 2016-07-22 | 2019-02-11 | 주식회사 인포리언스 | Data searching apparatus |
| KR101916934B1 (en) * | 2018-01-30 | 2018-11-08 | 주식회사 인포리언스 | Data searching apparatus |
| JP6721923B1 (en) * | 2019-05-02 | 2020-07-15 | 株式会社ギブリー | Information processing device and program |
| JP6957553B2 (en) * | 2019-05-09 | 2021-11-02 | 挙 山本 | Analytical equipment, analytical methods and analytical programs |
| KR102285964B1 (en) * | 2019-06-11 | 2021-08-03 | 이현환 | Preference evaluation method and system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008052495A (en) * | 2006-08-24 | 2008-03-06 | Sony Corp | Network system, information processor, method, program, and recording medium |
| JP2010286868A (en) * | 2009-06-09 | 2010-12-24 | Nec Corp | Community forming system, community forming device thereof, data processing method thereof, and computer program |
| US8725796B2 (en) * | 2011-07-07 | 2014-05-13 | F. David Serena | Relationship networks having link quality metrics with inference and concomitant digital value exchange |
| WO2013094361A1 (en) * | 2011-12-19 | 2013-06-27 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Method, computer program, and computer for detecting community in social medium |
| JP5600693B2 (en) * | 2012-01-26 | 2014-10-01 | 日本電信電話株式会社 | Clustering apparatus, method and program |
| JP5754854B2 (en) * | 2012-03-16 | 2015-07-29 | Kddi株式会社 | Contributor analysis apparatus, program and method for analyzing poster profile information |
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2014
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