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Natural Language Processing with Deep Dive in Python and NLTK培训

 
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上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦 【广州分部】:广粮大厦 【西安分部】:协同大厦
最近开间(周末班/连续班/晚班):2018年3月18日
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课程大纲
 
  • Introduction to Python
    Introduction
  • 1 - Installing Python
  • 2 - Numbers
  • 3 - Strings
  • 4 - Slicing up Strings
  • 5 - Lists
  • 6 - Installing PyCharm
  • Conditional Statements
  • 7 - if elif else
  • Iterations
  • 8 - for
  • 9 - Range and While
  • 10 - Comments and Break
  • 11 - Continue
  • Functions
  • 12 - Functions
  • 13 - Return Values
  • 14 - Default Values for Arguments
  • 15 - Variable Scope
  • 16 - Keyword Arguments
  • 17 - Flexible Number of Arguments
  • 18 - Unpacking Arguments
  • 19 - My trip to Walmart and Sets
  • 20 - Dictionary
  • 21 - Modules
  • Playing with Requests and Files
  • 22 - Download an Image from the Web
  • 23 - How to Read and Write Files
  • 24 - Downloading Files from the Web
  • Exceptions
  • 28 - Exceptions
  • Object Oriented Programs
  • 29 - Classes and Objects
  • 30 - init
  • 31 - Class vs Instance Variables
  • 32 - Inheritance
  • 33 - Multiple Inheritance
  • 34 - threading
  • Playing around with Python
  • 35 - Unpack List or Tuples
  • 36 - Zip (and yeast infection story)
  • 37 - Lamdba
  • 38 - Min, Max, and Sorting Dictionaries
  • 39 - Pillow
  • 40 - Cropping Images
  • 41 - Combine Images Together
  • 42 - Getting Individual Channels
  • 43 - Awesome Merge Effect
  • 44 - Basic Transformations
  • 45 - Modes and Filters
  • 46 - struct
  • 47 - map
  • 48 - Bitwise Operators
  • 49 - Finding Largest or Smallest Items
  • 50 - Dictionary Calculations
  • 51 - Finding Most Frequent Items
  • 52 - Dictionary Multiple Key Sort
  • 53 - Sorting Custom Objects
  • Add Ons:
  • 54 - Database Connectivity and Querying for MySQL
  • 55 - Quick look into Regular Expressions
  • 56 - Playing around with REST API
  • Writing a Web Crawler
  • Natural Language Processing and NLTK
    Introduction to NLP (examples in Python of course)
  • Simple Text Manipulation
  • Searching Text
  • Counting Words
  • Splitting Texts into Words
  • Lexical dispersion
  • Processing complex structures
  • Representing text in Lists
  • Indexing Lists
  • Collocations
  • Bigrams
  • Frequency Distributions
  • Conditionals with Words
  • Comparing Words (startswith, endswith, islower, isalpha, etc...)
  • Natural Language Understanding
  • Word Sense Disambiguation
  • Pronoun Resolution
  • Machine translations (statistical, rule based, literal, etc...)
  • Exercises
  • NLP in Python in examples
  • Accessing Text Corpora and Lexical Resources
  • Common sources for corpora
  • Conditional Frequency Distributions
  • Counting Words by Genre
  • Creating own corpus
  • Pronouncing Dictionary
  • Shoebox and Toolbox Lexicons
  • Senses and Synonyms
  • Hierarchies
  • Lexical Relations: Meronyms, Holonyms
  • Semantic Similarity
  • Processing Raw Text
  • Priting
  • struncating
  • extracting parts of string
  • accessing individual charaters
  • searching, replacing, spliting, joining, indexing, etc...
  • using regular expressions
  • detecting word patterns
  • stemming
  • tokenization
  • normalization of text
  • Word Segmentation (especially in Chinese)
  • Categorizing and Tagging Words
  • Tagged Corpora
  • Tagged Tokens
  • Part-of-Speech Tagset
  • Python Dictionaries
  • Words to Propertieis mapping
  • Automatic Tagging
  • Determining the Category of a Word (Morphological, Syntactic, Semantic)
  • Text Classification (Machine Learning)
  • Supervised Classification
  • Sentence Segmentation
  • Cross Validation
  • Decision Trees
  • Extracting Information from Text
  • Chunking
  • Chinking
  • Tags vs Trees
  • Analyzing Sentence Structure
  • Context Free Grammar
  • Parsers
  • Building Feature Based Grammars
  • Grammatical Features
  • Processing Feature Structures
  • Analyzing the Meaning of Sentences
  • Semantics and Logic
  • Propositional Logic
  • First-Order Logic
  • Discourse Semantics
  • Managing Linguistic Data
  • Data Formats (Lexicon vs Text)
  • Metadata
 

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