NLP Content – Natural Language Processing

Audience: People who have knowledge in Python programming.
Objectives: At the end of the course, the participant will be able to work with library of NLP
Prerequisites: People who have knowledge in Python programming. An understanding of Python libraries in general
Method: Local supervisor with trainer in remote
Language: English
Duration: 32 hours
Program:
1 Introductions
2 Python revisited considering Text Processing
3 Basic Language Structure
4 Modelling using Graphical Models Syntax & Parsing
5 Word Sense Disambiguation (WSD)
6 Hidden Markov Models
7 Sentiment Analysis
8 Question Answering
9 Collocations and Information Retrieval
10 Machine Translation
11 Case Studies & Projects
Caracteristicile cursului
- Prelegeri 0
- Chestionare 0
- Limbă English
- Studenți 0
- Evaluări Da