課程代碼
nlpwithr
課程時長
21 時間: 同常來說包括休息是 3天
最低要求
- Some familiarity with programming.
Audience
- Linguists and programmers
概觀
據估計, 非結構化資料占所有資料的 9 0% 以上, 其中大部分是文本形式的。博客帖子、推特、社交媒體和其他數位出版物不斷增加了這一不斷增長的資料
。本講師指導的現場課程的核心是從這些資料中提取見解和意義。利用 R 語言和自然語言處理 (NLP) 庫, 我們將電腦科學、人工智慧和計算語言學的概念和技術結合起來, 以演算法方式理解文本資料背後的含義。資料樣本可根據客戶要求提供各種語言版本.
到本培訓結束時, 學員將能夠準備來自不同來源的資料集 (大小), 然後應用正確的演算法分析和報告其意義
格式
Machine Translated
課程簡介
Introduction
- NLP and R vs Python
Installing and Configuring R Studio
Installing R Packages Related to Natural Language Processing (NLP)
An Overview of R's Text Manipulation Capabilities
Getting Started with an NLP Project in R
Reading and Importing Data Files into R
Text Manipulation with R
Document Clustering in R
Parts of Speech Tagging in R
Sentence Parsing in R
Working with Regular Expressions in R
Named-Entity Recognition in R
Topic Modeling in R
Text Classification in R
Working with Very Large Data Sets
Visualizing Your Results
Optimization
Integrating R with Other Languages (Java, Python, etc.)
Summary and Conclusion
客戶評論
相關課程
促銷課程
我們的客戶


















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