Natural Language Processing with Python培训

课程编码

python_nltk

课程时长

28 小时 通常来说是4天,包括中间休息。

要求

Basic Knowledge of Python

课程概览

本课程将语言学家或程序员介绍给Python NLP。在本课程中,我们将主要使用nltk.org(自然语言工具包),但我们也将使用与NLP相关且有用的其他库。目前我们可以在Python 2.x或Python 3.x中开展本课程。例如英语或普通话(普通话)。如果在预订前同意,也可以提供其他语言。

Machine Translated

课程大纲

Overview of Python packages related to NLP

 

Introduction to NLP (examples in Python of course)

  1. Simple Text Manipulation
    1. Searching Text
    2. Counting Words
    3. Splitting Texts into Words
    4. Lexical dispersion
  2. Processing complex structures
    1. Representing text in Lists
    2. Indexing Lists
    3. Collocations
    4. Bigrams
    5. Frequency Distributions
    6. Conditionals with Words
    7. Comparing Words (startswith, endswith, islower, isalpha, etc...)
  3. Natural Language Understanding
    1. Word Sense Disambiguation
    2. Pronoun Resolution
  4. Machine translations (statistical, rule based, literal, etc...)
  5. Exercises

NLP in Python in examples

  1. Accessing Text Corpora and Lexical Resources
    1. Common sources for corpora
    2. Conditional Frequency Distributions
    3. Counting Words by Genre
    4. Creating own corpus
    5. Pronouncing Dictionary
    6. Shoebox and Toolbox Lexicons
    7. Senses and Synonyms
    8. Hierarchies
    9. Lexical Relations: Meronyms, Holonyms
    10. Semantic Similarity
  2. Processing Raw Text
    1. Priting
    2. Struncating
    3. Extracting parts of string
    4. Accessing individual charaters
    5. Searching, replacing, spliting, joining, indexing, etc...
    6. Using regular expressions
    7. Detecting word patterns
    8. Stemming
    9. Tokenization
    10. Normalization of text
    11. Word Segmentation (especially in Chinese)
  3. Categorizing and Tagging Words
    1. Tagged Corpora
    2. Tagged Tokens
    3. Part-of-Speech Tagset
    4. Python Dictionaries
    5. Words to Propertieis mapping
    6. Automatic Tagging
    7. Determining the Category of a Word (Morphological, Syntactic, Semantic)
  4. Text Classification (Machine Learning)
    1. Supervised Classification
    2. Sentence Segmentation
    3. Cross Validation
    4. Decision Trees
  5. Extracting Information from Text
    1. Chunking
    2. Chinking
    3. Tags vs Trees
  6. Analyzing Sentence Structure
    1. Context Free Grammar
    2. Parsers
  7. Building Feature Based Grammars
    1. Grammatical Features
    2. Processing Feature Structures
  8. Analyzing the Meaning of Sentences
    1. Semantics and Logic
    2. Propositional Logic
    3. First-Order Logic
    4. Discourse Semantics
  9.  Managing Linguistic Data 
    1. Data Formats (Lexicon vs Text)
    2. Metadata

客户评论

★★★★★
★★★★★

课程分类

相关课程

促销课程

订阅促销课程

为尊重您的隐私,我公司不会把您的邮箱地址提供给任何人。您可以享有优先权和随时取消订阅的权利。

我们的客户

is growing fast!

We are looking to expand our presence in China!

As a Business Development Manager you will:

  • expand business in China
  • recruit local talent (sales, agents, trainers, consultants)
  • recruit local trainers and consultants

We offer:

  • Artificial Intelligence and Big Data systems to support your local operation
  • high-tech automation
  • continuously upgraded course catalogue and content
  • good fun in international team

If you are interested in running a high-tech, high-quality training and consulting business.

Apply now!