NLP with Python and TextBlob ( textblob | 14 hours )

Prerequisites:
  • 對 NLP 概念的理解
  • Python 程式設計經驗

觀眾

  • 數據科學家
  • 開發人員
Overview:

TextBlob 是一個 Python 用於處理文本數據的 NLP 庫。它提供了一個簡單的 API,可以輕鬆執行 NLP 任務,例如詞性標記、名詞短語提取、情感分析、分類、翻譯等。

這種以講師為主導的現場培訓(現場或遠端)針對希望使用TextBlob實施和簡化NLP任務的數據科學家和開發人員,例如情感分析,拼寫更正,文本分類建模等。

在培訓結束時,參與者將能夠:

  • 使用 TextBlob 設置必要的開發環境以開始實施 NLP 任務。
  • 瞭解 TextBlob 的功能、架構和優勢。
  • 瞭解如何使用 TextBlob 構建文字分類系統。
  • 執行常見的 NLP 任務(標記化、WordNet、情感分析、拼寫更正等)
  • 使用簡單的 API 和幾行代碼執行高級實現。

課程形式

  • 互動講座和討論。
  • 大量的練習和練習。
  • 在現場實驗室環境中實際實施。

課程定製選項

  • 如需申請此課程的定製培訓,請聯繫我們進行安排。
Course Outline:

介紹

  • TextBlob 功能和體系結構概述
  • NLP基礎

開始

  • 安裝 TextBlob
  • 導入庫和數據

構建文字分類模型

  • 載入資料和創建分類器
  • 評估分類器
  • 使用新數據更新分類器
  • 使用特徵提取器

使用 TextBlob 執行 NLP 任務

  • 代幣化  
  • Word網路整合  
  • 名詞短語提取  
  • 詞性標記  
  • 情感分析  
  • 拼寫更正
  • 翻譯和語言檢測

API 和高級實現

  • 情緒分析器  
  • 標記化者
  • 名詞短語 chunkers  
  • POS 標記器  
  • 解析器  
  • 斑點

故障排除

摘要和後續步驟

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