Natural Language Processing Training Course

Course Code

nlp

Duration

21 hours (usually 3 days including breaks)

Requirements

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.

Overview

Цей курс був розроблений для людей, зацікавлених у витяганні сенсу з письмового англійського тексту, хоча знання можуть бути застосовані і до інших людських мов.

Цей курс охоплює, як використовувати текст, написаний людьми, наприклад, публікації в блогах, твіти, тощо ...

Наприклад, аналітик може створити алгоритм, який автоматично досягне висновку на основі великого джерела даних.

Machine Translated

Course Outline

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

Testimonials

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★★★★★

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