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Rank	Score	AI predict score	Application	Publication	Examined/Granted
{{numberRank.rank}}	{{numberRank.score}}	{{numberRank.predict_score}}	{{numberRank.app_id}}	{{numberRank.pub_id}}	{{numberRank.exam_id}}

Search conditions

Save search condition

Email Alert

Set saved search conditions

{{ preCondition.lop }} {{preUserSearchSettings[preCondition.q][0]}} {{preUserSearchSettings[preCondition.q][1] ? '(' + preUserSearchSettings[preCondition.q][1] + ')' : ''}} {{preCondition.key}}

Delete All

Save search condition

Search conditions

Name {{userSearchSetting.title}}

Default

Email Alert

Disable Zero Alert

Period

{{op[0]}}

Latest published

Latest granted

New Update

Load from the saved search conditions

Created at : {{userSearchSetting.created_at | strftime('YYYY-MM-DD')}}
N hits on last searched : {{userSearchSetting.last_searched_n_hits}}

Remove the saved search conditions

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{{query[1]}} Search | Delete

{{query[0]}}

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More

Reset

More

{{index+1}}

{{condition.nhits}}

{{index+1}}

N records
N clusters
N search words

{{condition.nhits}}

{{index+1}}

# of cited

# of citing

Max # of connection

End edge only

Remove citation sources

Exclude same with

Include same with

Get Citation Type Cited/Citing Auto

{{condition.nhits}}

Add filter conditions

Logical expression

{{linesNhits}}

Predict model

Select the work group :

Predict model (Pre) :

Manual Update

Label type

Binary class Multi class Multi label

Adjust score with AI prediction score

Targe features

{{feature.name}}

Custom Labels

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

{{labelName.name}} {{countLabelName(labelName.name)}} {{labelName.weight ? labelName.weight : '1.0'}}

Supervised labels Prediction labels

Pupervised labels Prediction labels

Pupervised labels Prediction labels Parameter tuning

チューニングに使用するデータ教師データの一部予測データ

精度検証に使用する割合

チューニング対象特徴量

{{feature.name}}

C : Cost

Sigma : Kernel parameter

Prefer label(binary)

最適パラメータ
精度: {{Math.floor((tuningBest.accuracy * 1000)) / 1000}} 対象特徴量: {{t.supervised_label_sets[tuningBest.features]}} C: {{tuningBest.c}} Sigma: {{tuningBest.sigma}} ２値優先ラベル: {{tuningBest.force_zero}}

精度: {{Math.floor((result.accuracy * 100)) / 100}} 対象特徴量: {{t.supervised_label_sets[result.features]}} C: {{result.c}} Sigma: {{result.sigma}} ２値優先ラベル: {{result.force_zero}}

この機能は現在、一般ユーザー非公開の試験機能です。サーバー負荷が高いため、今後、回数制限か有料オプション加入ユーザー限定となる見込みです。

Query type

Query Empty query Query must be less than 1000 characters Already exists Invalid number Too many supervised labels Too many prediction labels

Label

{{label}}

Pupervised labels Import from file Save supervised labels Edit supervised labels Save supervised labels CSV DL Delete All Parameter Settings Manual

Prediction labels Import from file Save prediction labels Edit prediction labels Save prediction labels CSV DL Delete All Parameter Settings Manual

C : Cost

Sigma : Kernel parameter

Prefer label(binary)

{{label.name}}

Automatically parameters tuning

Target of import

{{label.name}}

# of import

Import

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No supervised labels

{{trainPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

- Accuracy : {{Math.floor((trainAccuracy * 1000)) / 1000}} Precision : {{Math.floor((trainPrecision * 1000)) / 1000}} Recall : {{Math.floor((trainRecall * 1000)) / 1000}} F-measure : {{Math.floor((trainFMeasure * 1000)) / 1000}}

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No prediction labels

{{predictPageStart+index+1}} App Pub Exam {{label.q}} {{label.q}} {{label.n ? label.n : ' '}} {{Math.floor((label.ps * 1000)) / 1000}} {{Math.floor((label.ps * 1000)) / 1000}} {{label.pcs.join(',')}} {{label.pl}} {{label}} {{label}} {{label.s.join(',')}} {{label.l}}

Accuracy : {{Math.floor((accuracy * 1000)) / 1000}} ({{correct}} / {{total}}) Precision : {{Math.floor((precision * 1000)) / 1000}} Recall : {{Math.floor((recall * 1000)) / 1000}} F-measure : {{Math.floor((FMeasure * 1000)) / 1000}}

{{labelName.name}} : {{Math.floor((predictStats[labelName.name].correct / predictStats[labelName.name].total) * 1000) / 1000}} ({{predictStats[labelName.name].correct}} / {{predictStats[labelName.name].total}})

Custom Label filter

{{label}}

Custom Pre Label filter

{{label}}

Enable prediction with search results

Enable semantic score

# of predict labels

名寄せ出願人名

原作者名: 文部科学省科学技術・学術政策研究所

タイトル：NISTEP企業名辞書
URL：http://www.nistep.go.jp/research/scisip/data-and-information-infrastructure

JST/RISTEX 社会問題キーワード

出典：社会俯瞰調査2018 (JST-RISTEX)

URL：https://www.jst.go.jp/ristex/pdf/unit/unit_tamenteki_2018.pdf

WIPO 技術分類

出典 : WIPO, IPC - Technology Concordance Table

URL : http://www.wipo.int/meetings/en/doc_details.jsp?doc_id=117672

NISTEP 技術分類

出典 : 文部科学省　科学技術・学術政策研究所、科学技術指標2017、調査資料-261、2017年8月

URL : http://www.nistep.go.jp/sti_indicator/2017/RM261_47.html

JPO 審査部技術分野

出典 : 審査第一部～第四部の担当技術の概要　（平成30年4月23日版）

URL : http://warp.da.ndl.go.jp/info:ndljp/pid/11239397/www.jpo.go.jp/torikumi/t_torikumi/pdf/sinsagai/bunya.pdf

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