課程代碼
opennlp
課程時長
14 時間: 同常來說包括休息是 2天
最低要求
- Java programing experience
概觀
Apache OpenNLP庫是用于處理自然語言文本的基于機器學習的工具包。它支持最常見的NLP任務,例如語言檢測,標記,句子分段,部分語音標記,命名實體提取,分塊,解析和共參考解析。 在這個有指導意義的現場培訓中,參與者將學習如何創建使用OpenNLP處理基于文本的數據的模型。樣本培訓數據以及定制數據集將作爲實驗練習的基礎。 在培訓結束後,參與者將能夠: 安裝和配置OpenNLP 下載現有模型並創建自己的模型在各種樣本數據上訓練模型將OpenNLP與現有的Java應用程序集成 聽衆 開發商數據科學家 課程的格式 部分講座,部分討論,練習和沈重的練習
Machine Translated
課程簡介
Introduction to Machine Learning and Natural Language Processing
Installing and Configuring OpenNLP
Overview of OpenNLP's Library Structure
Downloading Existing Models
Calling the OpenNLP's APIs
Sentence Detection and Tokenization
Part-of-Speach (POS) Tagging
Phrase Chunking
Parsing
Name Finding
English Coreference
Training the Tools
Creating a Model from Scratch
Extending OpenNLP
Closing remarks
客戶評論
課程分類
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