Natural Language Processing培训

课程编码

nlp

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

No background in NLP is required.

Required: Familiarity with any programming language (Java, Python, PHP, VBA, etc...).

Expected: Reasonable maths skills (A-level standard), especially in probability, statistics and calculus.

Beneficial: Familiarity with regular expressions.

课程概览

本课程专为有兴趣从书面英语文本中提取意义的人设计,尽管知识也可以应用于其他人类语言。

该课程将介绍如何使用人类撰写的文本,如博客文章,推文等...

例如,分析师可以设置一种算法,该算法将根据广泛的数据源自动得出结论。

Machine Translated

课程大纲

Short Introduction to NLP methods

  • word and sentence tokenization
  • text classification
  • sentiment analysis
  • spelling correction
  • information extraction
  • parsing
  • meaning extraction
  • question answering

Overview of NLP theory

  • probability
  • statistics
  • machine learning
  • n-gram language modeling
  • naive bayes
  • maxent classifiers
  • sequence models (Hidden Markov Models)
  • probabilistic dependency
  • constituent parsing
  • vector-space models of meaning

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