NLP with Python and TextBlob ( textblob | 14 hours )
- 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
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。
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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