BNIE 3.0 (Business news information extraction 3.0)
2011
- 7Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage7
- Abstract Views7
Thesis / Dissertation Description
Information Extraction (IE) locates and retrieves structured information from unstructured text. Such technology is useful for Business Intelligence (BI), which is the analysis of business data with the help of computers. The research involved the design and implementation of a system that extracts information on business transactions between two or more companies from business news articles and stores these into a database for a more structured view to facilitate comparisons of data. The proponents tested BNIE 3.0 on 75 business news articles form BioSpace.com, and the system was able to achieve an F-measure of 70.28%. With the addition of typed dependencies in semantic interpretation, it has a higher accuracy compared with the 56.27% F-measure of BNIE 2.0 tested on the same 75 business news articles.
Bibliographic Details
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