Evaluation of language models and word embedding methods for natural language processing applications

Overview

In deep learning models, language models and word embedding methods have become popular to understand the context of text data. There exist many variants of these methods and have different limitations.

This project will introduce you to the hot topic of language models and the fields of Natural Language Processing and Text Mining. 

Research activities

This project involves experimenting with various variants on different types of data and understanding their limitations and complexities. The student will be provided codes and datasets for conducting experiments. 

Outcomes

A report describing experiments and their outcomes.

A code pipeline integrating all models that will be experimented. 

An academic paper sharing the empirical analyses. 

Skills and experience

You should know Python and must have knowledge of machine learning. Good analytical skills. Must have GPA 5.5 and above.

Scholarships

You may be eligible to apply for a research scholarship.

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Keywords

• text mining
• machine learning
• artificial intelligence
• language models
• deep learning

Contact

Contact the supervisor for more information.