Correlate Influential News Article Events to Stock Quote Movement
Paper
Mandalapu, Arun Chaitanya, Gunabalan, Saranya, Sadineni, Avinash, Cai, Taotao, Hasan, Nur Al Hasan and Li, Jianxin. 2019. "Correlate Influential News Article Events to Stock Quote Movement
." Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang (ed.) 15th International Conference on Advanced Data Mining and Applications. Dalian, China 21 - 23 Nov 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-35231-8_24
| Paper/Presentation Title | Correlate Influential News Article Events to Stock Quote Movement |
|---|---|
| Presentation Type | Paper |
| Authors | Mandalapu, Arun Chaitanya, Gunabalan, Saranya, Sadineni, Avinash, Cai, Taotao, Hasan, Nur Al Hasan and Li, Jianxin |
| Editors | Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang |
| Journal or Proceedings Title | Proceedings of 15th International Conference on Advanced Data Mining and Applications (ADMA 2019) |
| Journal Citation | 11888, pp. 331-342 |
| Number of Pages | 12 |
| Year | 2019 |
| Publisher | Springer |
| Place of Publication | Switzerland |
| ISBN | 9783030352318 |
| 9783030352301 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-35231-8_24 |
| Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-35231-8_24 |
| Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-3-030-35231-8 |
| Conference/Event | 15th International Conference on Advanced Data Mining and Applications |
| Event Details | 15th International Conference on Advanced Data Mining and Applications Parent International Conference on Advanced Data Mining and Applications Delivery In person Event Date 21 to end of 23 Nov 2019 Event Location Dalian, China |
| Abstract | This study is to investigate the digital media influence on financial equity stocks. For investment plans, knowledge-based decision support system is an important criterion. The stock exchange is becoming one of the major areas of investments. Various factors affect the stock exchange in which social media and digital news articles are found to be the major factors. As the world is more connected now than a decade ago, social media does play a main role in making decisions and change the perception of looking at things. Therefore a robust model is an important need for forecasting the stock prices movement using social media news or articles. From this line of research, we assess the performance of correlation-based models to check the rigorousness over the large data sets of stocks and the news articles. We evaluate the various stock quotes of entities across the world on the day news article is published. Conventional sentiment analysis is applied to the news article events to extract the polarity by categorizing the positive and negative statements to study their influence on the stocks based on correlation. |
| Keywords | Correlation; Sentiment analysis; Name entity recognition |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 4602. Artificial intelligence |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Series | Lecture Notes in Computer Science |
| Byline Affiliations | Deakin University |
| School of Mathematics, Physics and Computing | |
| University of Western Australia |
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