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Hedge Word Detector

自信に欠けるヘッジ語("might"、"perhaps"、"appears to")を発見。マーケティング、学術、法律、一般など、ドメインごとに重み付けされた自信度スコアを取得。

日本語 向けではありません

このツールは英語(および関連言語)向けに調整されています。日本語 の結果は意味をなさない可能性があります。

使うべき場面

Use the hedge-word detector for marketing copy, executive writing, or any context where confidence sells. Inverse use: in academic and legal writing, hedging signals epistemic care — high hedge rates are expected.

他の指標との比較

Hedge detection is the confidence dimension of the filler / passive / adverb family. Together they form a complete weak-prose audit.

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仕組み

Hedges are words that signal uncertainty: modal verbs (might, could), probability adverbs (perhaps, possibly), and tentative verbs (seems, appears).

The detector counts both single-word hedges and multi-word phrases ("it could be argued", "to some extent").

The confidence score is 100 minus the hedge rate times a domain-specific weight — marketing penalizes hedges heaviest, academic lightest.

よくある質問

What are hedge words?

Words that signal uncertainty: might, may, could, perhaps, possibly, seems, appears, suggests, somewhat, generally, etc.

Is hedging always bad?

No. Academic and legal writing require hedging to signal epistemic care. Marketing and confident persuasion punish it. Set the domain selector accordingly.

How is the confidence score calculated?

Confidence = 100 − (hedge rate × domain weight). Marketing weight is highest (5), academic lowest (1.5).

実例

入力

"It might be possible that our approach could perhaps yield some improvement."

出力

4 hedges in 12 words (33%) — confidence 0/100.

"Might", "possible", "could", "perhaps", "some" — every claim is hedged. A confident rewrite: "Our approach yields a measurable improvement."

よくある落とし穴

  • Hedging is appropriate in scientific writing — "the data suggest" is correct, not weak.
  • Modal verbs (might, could) have both hedging and capability meanings — context matters.
  • Eliminating all hedges produces overconfident prose that strikes readers as naïve.
  • Domain weighting matters — set the correct preset for accurate scoring.

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