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Discover the fascinating world of Natural Language Processing (NLP) with Python in this comprehensive training. Delve into popular NLP libraries like nltk.org, grasp advanced techniques, and learn to process and analyze text data in English or other languages as required.
Dive deep into the sphere of Natural Language Processing with Python in this intensive course tailored for both linguists and programmers.
By the end of the course, participants will have a robust understanding of NLP concepts, techniques, and their practical applications in Python.
Over the course of four days, participants will:
• Familiarize themselves with Python's NLP packages.
• Gain hands-on experience in text manipulation and analysis.
• Acquire in-depth knowledge in machine translation techniques.
• Access and utilize text corpora and lexical resources.
• Learn advanced techniques such as stemming, tokenization, and normalization.
• Understand and implement text classification using machine learning.
• Analyze the structure and meaning of sentences for deeper linguistic insights.
• Manage linguistic data effectively.
Participants should have a basic knowledge of Python. No prior understanding of NLP is necessary.
*We customize the course outline and content to your specific needs and relevant use cases.
Introduction to NLP
• Python and NLP: An Overview
• Basic Text Manipulation: Searching, counting, and splitting
• Processing Complex Text Structures: Lists, indexing, collocations
Understanding Natural Language
• Word Sense Disambiguation and Pronoun Resolution
• Various Machine Translation Techniques
Accessing Text Resources
• Text Corpora and Lexical Resources Overview
• Common Sources for Corpora and their Applications
• Lexical Relations: Understanding Synonyms, Meronyms, Holonyms, and more
Processing Raw Text
• Techniques: Printing, truncating, extracting, and more
• Advanced Techniques: Regular expressions, stemming, normalization
• Tokenization and Word Segmentation (Focus on Chinese Text)
Tagging and Classification
• Categorizing and Tagging Words: From basics to advanced
• Text Classification with Machine Learning: Decision Trees, Cross-validation
Extracting Information from Text
• Information Extraction Techniques: Chunking, chinking
• Analyzing Sentence Structure: Context-free grammar, parsers
Deep Dive into Semantics
• Semantics and Logic: Propositional and First-Order Logic
• Discourse Semantics and Sentence Analysis
Managing Linguistic Data
• Data Formats: Comparing Lexicon and Text
• Understanding Metadata
Hands-on learning with expert instructors at your location for organizations.
Master new skills guided by experienced instructors from anywhere.
