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文字分析

文字採礦 AI 服務,可發掘非結構化文字中的情感分析、實體、關聯和關鍵片語等見解

從文字中挖掘出見解

使用自然語言處理 (NLP),您無須具備任何機器學習專長,就能從非結構化文字中挖掘出見解。使用情感分析深入了解客戶的想法。識別關鍵片語和實體 (例如人物、地點和組織),以了解共通的主題和趨勢。使用預先訓練之特定領域的模型來分類醫學術語。評估各種語言的文字。

廣泛擷取實體

確認文字中的重要概念,包含關鍵片語與具名實體,例如人員、活動與組織。

強大的情感分析

透過意見挖掘,了解客戶對您品牌的看法,並分析有關特定主題的情感。

問題解答

從常見問題集、產品手冊、部落格和原則等內容中,獲得問題的答案。

處理醫療文字

擷取以非結構性醫療文字方式所儲存的見解,並以即時方式處理及進行批次分析。

語言: English (信心:100%)
關鍵片語: The Sirloin steak, Contoso Steakhouse, midtown NYC, dinner party, great menu, chief cook, John Doe, online menu, marvelous food, spot, owner, name, kitchen, dining, place, order, contososteakhouse, email, complaint
人氣:
文件
MIXED
86%
正面
0%
中立
14%
負面
例句 1
POSITIVE
99%
正面
1%
中立
0%
負面
例句 2
POSITIVE
100%
正面
0%
中立
0%
負面
例句 3
POSITIVE
100%
正面
0%
中立
0%
負面
例句 4
POSITIVE
100%
正面
0%
中立
0%
負面
例句 5
POSITIVE
100%
正面
0%
中立
0%
負面
例句 6
NEUTRAL
0%
正面
100%
中立
0%
負面
例句 7
NEGATIVE
0%
正面
0%
中立
100%
負面
例句 8
POSITIVE
100%
正面
0%
中立
0%
負面
具名實體: Contoso Steakhouse [Location]
midtown [Location-GPE]
NYC [Location-GPE]
last week [DateTime-DateRange]
dinner party [Event]
chief cook [PersonType]
owner [PersonType]
John Doe [Person]
kitchen [Location-Structural]
Sirloin steak [Product]
www.contososteakhouse.com [URL]
312-555-0176 [Phone Number]
order@contososteakhouse.com [Email]
food [Product]
PII 實體: Type: Organization
Value: Contoso

Type: DateTime
Value: last week

Type: PersonType
Value: chief cook

Type: PersonType
Value: owner

Type: Person
Value: John Doe

Type: URL
Value: www.contososteakhouse.com

Type: Phone Number
Value: 312-555-0176

Type: Email
Value: order@contososteakhouse.com

Type: Organization
Value: contososteakhouse

連結實體: We went to Contoso Steakhouse located at midtown NYC last week for a dinner party, and we adore the spot! They provide marvelous food and they have a great menu. The chief cook happens to be the owner (I think his name is John Doe) and he is super nice, coming out of the kitchen and greeted us all. We enjoyed very much dining in the place! The Sirloin steak I ordered was tender and juicy, and the place was impeccably clean. You can even pre-order from their online menu at www.contososteakhouse.com, call 312-555-0176 or send email to order@contososteakhouse.com! The only complaint I have is the food didn't come fast enough. Overall I highly recommend it!
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識別重要概念並分類

使用具名實體辨識從文件中擷取各種預先建置的實體,例如人員、地點、組織、日期/時間、數字,以及超過 100 種類型的個人識別資訊 (PII),包括受保護的健康資訊 (PHI)。

識別非結構化文字中的重點

快速評估及識別非結構化文字中的重點。使用關鍵片語擷取,取得最能描述詞彙片段的相關片語清單。或者使用擷取摘要 (預覽),識別出最能傳達文件主要概念的句子。

更準確地了解客戶的想法

分析社交媒體、客戶評論及其他來源中的正面和負面情感,以探知品牌的風評。使用意見挖掘,探索客戶對文字中產品或服務特定屬性的感受。

處理非結構化醫療資料

使用文字分析的健康情況功能,從非結構化臨床文件 (例如醫囑、電子醫療記錄及病患諮詢表) 中擷取見解。辨識、分類及判斷醫療概念 (例如診斷、症狀,以及藥物的劑量與頻率) 之間的關聯性。

在資料上建立交談層

從半結構化和非結構化內容中,例如 URL、常見問題集、產品手冊、部落格、支援文件等,獲得問題的答案。

在雲端或邊緣隨處部署

無論資料位於何處,都可以執行文字分析。使用容器,建置針對健全雲端功能和邊緣位置最佳化的應用程式。

完整的隱私權與安全性

  • 您的資料仍屬您所有。Microsoft 不會擅用對您文字執行的定型來改進模型。
  • 選擇認知服務在哪裡使用容器處理您的資料。
  • 文字分析由 Azure 基礎結構所支援,提供企業級安全性、可用性、合規性與管理性。

以彈性的定價,獲得您所需的功能、掌控度和自訂能力

  • 依據交易次數隨用隨付,免預付費用。

文字分析資源和文件

受到各種規模公司的信任

KPMG 簡化詐騙分析

KPMG 的客戶風險分析解決方案使用文字分析功能,偵測模式和關鍵字以標示合規性風險,協助金融機構省下數百萬元的合規性成本。

KPMG

Wilson Allen 從非結構化資料發現見解

Wilson Allen 建立了功能強大的 AI 解決方案,可協助世界各地的法律與專業服務事務所,在原先互不相通且非結構化的資料中,發現前所未有的見解。

Wilson Allen

IHC 提升服務工程師的能力

Royal IHC 使用 Azure 認知搜尋和文字分析讓工程師不需要花費時間從不同來源手動搜尋資料,並為他們提供其結構化和非結構化資料的相關見解。

Royal IHC

LaLiga 提高粉絲參與度

LaLiga 使用個人數位助理,與全球各地數百萬名粉絲互動,透過文字分析來處理傳入的查詢及判斷多種語言的使用者意圖。

LaLiga

TIBCO 將根本原因分析應用於邊緣

TIBCO 使用文字分析和異常偵測器來偵測及分析異常狀況 (例如資料模式突然改變)、探索根本原因,並提供建議的動作。

TIBCO

Kotak Mahindra Bank 加速提高生產力

Kotak Asset Management 採用聊天機器人為客戶服務管理進行轉型,以輕鬆地分析主旨列、客戶資訊和電子郵件內容,以識別情感並觸發下一個最佳動作。

Kotak

文字分析 的常見問題集

  • 文字分析可偵測各種語言、變體和方言。如需詳細資訊,請參閱語言支援文件
  • 可以。情感分析和關鍵片語擷取僅適用於某些語言,您可以在文字分析論壇中要求其他語言。
  • 關鍵片語擷取可排除不重要的字組和單獨的形容詞。形容詞與名詞詞組 (例如「壯觀的景象」或「多霧的天氣」) 會一起傳回。一般而言,輸出由句子的名詞和受詞組成,並依重要性的順序列出。重要性的測量依據為提到特定概念的次數,或文字中該項目與其他項目的關聯。
  • 如果模型和演算法的改進內容屬於大幅變更,則會特別宣布,若只是微幅更新,則會直接新增至服務。過了一段時間,您可能會發現輸入相同的文字後,會輸出不同的情感分數或關鍵片語。在雲端中使用受控機器學習資源會有這種結果是正常的,也是刻意這麼做的。
  • 是,您可以使用預覽版的分析作業,在同一個非同步呼叫中合併多個文字分析功能。此分析作業目前只以標準定價層提供,並遵循相同的定價準則。

開始使用文字分析