OpenNLP for Text Based Machine Learning培訓

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

★★★★★
★★★★★

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