Enhanced Short Text Modeling: Leveraging Large Language Models for Topic Refinement

arXiv:2403.17706v1 Announce Type: new
Abstract: Crafting effective topic models for brief texts, like tweets and news headlines, is essential for capturing the swift shifts in social dynamics. Traditional topic models, however, often fall short in accurately representing the semantic intricacies of short texts due to their brevity and lack of contextual data. In our study, we harness the advanced capabilities of Large Language Models (LLMs) to introduce a novel approach termed "Topic Refinement". This approach does not directly involve itself …

abstract arxiv cs.ai cs.cl dynamics however language language models large language large language models modeling semantic social swift text tweets type