BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights

arXiv:2404.02053v1 Announce Type: new
Abstract: This paper explores the intersection of Natural Language Processing (NLP) and financial analysis, focusing on the impact of sentiment analysis in stock price prediction. We employ BERTopic, an advanced NLP technique, to analyze the sentiment of topics derived from stock market comments. Our methodology integrates this sentiment analysis with various deep learning models, renowned for their effectiveness in time series and stock prediction tasks. Through comprehensive experiments, we demonstrate that incorporating topic sentiment notably enhances …

abstract advanced analysis analyze arxiv bertopic cs.ce cs.cl financial impact insights intersection language language processing market market predictions methodology natural natural language natural language processing nlp paper prediction predictions price processing q-fin.st sentiment sentiment analysis stock stock price topics type