News Article Based Industry Risk Index Prediction for Industry-Specific Evaluation
The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time...
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| Veröffentlicht in: | Journal of web engineering 2021-01, Vol.20 (3), p.795 |
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| container_title | Journal of web engineering |
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| creator | Kim, Kyungwon Yoon, Kyoungro |
| description | The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time to calculate the structured data and cause the time delay problem. In this paper, to solve this time delay problem, we derive monthly industry-specific interest and likability as a time series data type, which is a new industry evaluation indicator based on unstructured data. In addition, we propose a method to predict the industrial risk index, which is used as an important factor in industrial evaluation, based on derived industry-specific interest and likability time series data. |
| doi_str_mv | 10.13052/jwe1540-9589.20311 |
| format | Article |
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| ispartof | Journal of web engineering, 2021-01, Vol.20 (3), p.795 |
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| language | eng |
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| source | ProQuest Central |
| subjects | Algorithms Classification Dictionaries Financial analysis Keywords Semantics Statistical analysis Structured data Time lag Time series Unstructured data |
| title | News Article Based Industry Risk Index Prediction for Industry-Specific Evaluation |
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