Course co-ordinator(s): Dr Neamat El Gayar (Dubai), Md Azher Uddin (Dubai).
Aims:
The course aims to provide the students with knowledge and skills in applied text analytics focusing on Machine Learning
and Natural Language Processing tools.
In particular the course:
- Presents the area of text analytics and provides fundamental tools to extract, represent and analyse information from
text sources using machine learning models
- Provides a fundamental understanding of concepts and tools to build effective language aware systems and
applications
- Presents basic understanding of deep learning models for Natural Language Processing applications and related
research
- Discusses current research advances, business cases and future direction of the field
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: none.
Location: Dubai.
Semester: 2.
Syllabus:
• The following topics will be covered with varying levels of depth:
• Overview on ML models, techniques and use cases & ML project design.
• Language model & text processing principles
• Text classification & visualization
• Text Clustering & topic modeling
• Context-aware text analysis & n-gram model
• Chatbots
• Scaling text analytics
• A deep learning approach to NLP:
- Sequence models (ex: RNN, BRNN, LSTM ) & transfer learning
- Applications in Named Entity Recognition, learning word-embeddings, machine translation, sentiment classification
• Research Directions and Business Cases
SCQF Level: 11.
Credits: 15.