@inproceedings{xia2024using,title={Using Pre-trained Language Model for Accurate ESG Prediction},author={Xia, Lei and Yang, Mingming and Liu, Qi},booktitle={Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning},pages={1--22},year={2024},}
2023
VINCI
BiverWordle: Visualizing Stock Market Sentiment with Financial Text Data and Trends
Lei Xia, Yi-Ping Gao, Le Lin, and 2 more authors
In Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, Guangzhou, China, 2023
While financial forums are increasingly significant in financial analysis, current visualization tools do not properly exploit their text data. To address this, we present BiverWordle, a novel tool that reveals the relationship between market sentiment and firm trends. BiverWordle integrates candlestick chart, ThemeRiver, and Wordle with text classification and sentiment analysis techniques to decode market dynamics from textual sources, such as shareholder opinions and firm announcements. With the application of a Voting model to the manually labeled data, we achieved an accuracy of approximately 64%. BiverWordle facilitates the extraction of shareholder insights from sparse comments and provides a visual method for historical stock trend analysis, which we validated with three distinct stock trends. Resources are accessible at https://github.com/Brian-Lei-XIA/BiverWordle.
@inproceedings{10.1145/3615522.3615541,author={Xia, Lei and Gao, Yi-Ping and Lin, Le and Chen, Yu-Xi and Zhang, Kang},title={BiverWordle: Visualizing Stock Market Sentiment with Financial Text Data and Trends},year={2023},isbn={9798400707513},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3615522.3615541},doi={10.1145/3615522.3615541},booktitle={Proceedings of the 16th International Symposium on Visual Information Communication and Interaction},articleno={18},numpages={5},keywords={Visualization, Sentiment Analysis, Financial Text Processing},location={Guangzhou, China},series={VINCI '23},}