Statistics and Data Science seminar organised by the RSS South West local group will take place at the University of Plymouth on 29th of November 2023.
Abstract: In this era of big data, understanding and distilling large volume of textual data remains a paramount challenge. Topic modelling (TM) stands out as a key method for the automated extraction of coherent themes across various applications including sentiment analysis and recommendation systems. It is considered a branch of machine learning (ML) and natural language processing (NLP), aiding in the revelation of underlying topical patterns. In this seminar, we will delve into the innovative paradigms for extracting textual themes and structure. Specifically, we will discuss the state-of-the-art (SOTA) algorithms including bidirectional encoder representations from transformers (BERT) and its variants for enhanced text representation and understanding. Additionally, we'll examine the role of TM for sentiment analysis, document summarisation and recommender systems.
Bayode Ogunleye (University of Brighton)