@inproceedings{2a328415465c43818667769c3b07c30e,
title = "News Articles Evaluation Analysis in Automotive Industry Using GPT-2 and Co-occurrence Network",
abstract = "News articles have great impacts on asset prices in the financial markets. Many attempts have been reported to ascertain how news influences stock prices. Stock price fluctuations of highly influential companies can have a major impact on the economy as a whole. In particular, the automobile industry is a colossal industry that leads the Japanese industry. However, the limitations in the number of available data sets usually become the hurdle for the model accuracy. In this study, we constructed a news evaluation model utilizing GPT-2. A news evaluation model is a model that evaluates news articles distributed to financial markets based on price fluctuation rates and predicts fluctuations in stock prices. We have added news articles generated by GPT-2 as data for analysis. Besides, we used a co-occurrence network analysis to review the overview of the news articles. News articles were classified through Long Short-Term Memory (LSTM). The results showed that the accuracy of the news evaluation model improved by generating news articles using a language generation model through GPT-2. More detailed analyses are planned for the future.",
keywords = "Co-occurrence network, Deep learning, Financial markets, GPT-2, Language generation, LSTM",
author = "Yoshihiro Nishi and Aiko Suge and Hiroshi Takahashi",
year = "2020",
doi = "10.1007/978-3-030-58790-1_7",
language = "English",
isbn = "9783030587895",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "103--114",
editor = "Maki Sakamoto and Naoaki Okazaki and Koji Mineshima and Ken Satoh",
booktitle = "New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, 2019, Revised Selected Papers",
note = "11th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2019 ; Conference date: 10-11-2019 Through 12-11-2019",
}