Introduction to Natural Language Processing
Natural Language Processing (NLP) is a branch of artificial intelligence that bridges the gap between human communication and computer understanding. It enables machines to process, analyze, and generate human language in a meaningful way. In this course, we explore different NLP-related tasks such as text classification, machine translation, and speech recognition. We will use some packages that facilitate text processing and provide the theoretical background behind the algorithm utilized in NLP.
20 in stock
February 19, 2024
March 1, 2024
Language(s) of the training
Languages spoken by the coach(es)
Aria Nourbakhsh, Nina Hosseini-Kivanani
– Introduction and basics of text processing and preprocessing
– Basics of regular expressions
– Syntactic and semantic analysis
– Sentiment analysis and text classification
– Ethical consideration and bias in NLP
– Speech processing
In this course, we will provide the theoretical requirements from a Linguistics and Artificial intelligence point of view. Each session will include a hands-on experience by coding and working on different datasets. At each practical session, we will provide feedback to the students by answering their questions and the challenges they face during the course.
The students will learn about different tasks related to NLP and techniques utilized to handle different challenges. They will learn how to process data and apply their knowledge to optimize the output of different algorithms.
This training has a total duration of 9 hours and takes place over 3 days:
- 19-02-2024: 14:00 – 17:00
- 26-02-2024: 14:00 – 17:00
- 01-03-2024: 14:00 – 17:00
Format and Location
This course takes place ON-SITE
Terres Rouges building
14, porte de France
– Basics of Python (List, dictionary, functions,…)
– Basics of algebra
– Basics of linear algebra (Will be covered)
This training does not have any assessment or exams; a certificate of participation will be issued to participants.