OpenNLP for Text Based Machine Learning培训

课程编码

opennlp

课程时长

14 hours 通常来说是2天,包括中间休息。

要求

  • Java programing experience

课程概览

Apache OpenNLP库是用于处理自然语言文本的基于机器学习的工具包。它支持最常见的NLP任务,例如语言检测,标记,句子分段,部分语音标记,命名实体提取,分块,解析和共参考解析。 在这个有指导意义的现场培训中,参与者将学习如何创建使用OpenNLP处理基于文本的数据的模型。样本培训数据以及定制数据集将作为实验练习的基础。 在培训结束后,参与者将能够: 安装和配置OpenNLP 下载现有模型并创建自己的模型在各种样本数据上训练模型将OpenNLP与现有的Java应用程序集成 听众 开发商数据科学家 课程的格式 部分讲座,部分讨论,练习和沉重的练习

Machine Translated

课程大纲

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

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