Why NPL with Python Courses South Africa?

Overall This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Furthermore The exam can be taken at a testing center or from the comfort and convenience of a home or office location as an online proctored exam.

Part-Time

Fast forward your career in the IT industry with a part-time course at School of IT. In turn Part-time courses allow working professionals to transition into a new skill set while working. Moreover at School of IT we are agile and customize a course to the individual.

Full Time

Ready to start a career in IT? Learn NPL with Python as a full time student at School of IT. Thus beginning your career in Artificial Intelligence.

High School

Learn about R and prepare for the future while you’re still in high school. Thus no matter where you are, we come to you! Thus giving you the analytical skills to pursue your dreams!

Corporate

Learn about Artificial Intelligence (AI) Training in South Africa and up skill yourself or your company while you’re working. Thus no matter where you are, we come to you and give the tools to move up in your company.

Course Objectives.

By the end of the Natural Language Processing with Python Training, students will have usable knowledge of the following:

Introduction to NLP

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

The career prospects for NPL with Python Courses South Africa is high in demand. data is everywhere: on all platforms and devices and in all countries around the world!

• All in all Python Developer
• Data Analyst.
• Furthermore a Data Scientist.
• Become a Cloud DevOps Engineer.
• Thus become a Azure Software Engineer.
• Networking Specialist.