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Application of 2k full factorial experiment for the determination of risk factors significance of oil and gas production enterprises’ activity

Oksana Gryniuk

Perspectives of Innovations, Economics & Business2017https://doi.org/10.15208/pieb.2017.04article
ABDC C
Weight
0.26

What the paper says

Sentiment analysis has found broad usage helping institutions to better understand the choices, intentions, and behaviors of an individual acting as a buyer, consumer or service user. However its utilization in the domain of higher education is scarce. Therefore, the paper provides an insight into most relevant research and diversified applications of sentiment analysis in higher education, describing its unexploited potentials and benefits, such as leveraging students’ attraction/retention, evaluating the institution’s competitiveness or tracking performance indicators over time.

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https://doi.org/https://doi.org/10.15208/pieb.2017.04

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@article{oksana2017,
  title        = {{Application of 2k full factorial experiment for the determination of risk factors significance of oil and gas production enterprises’ activity}},
  author       = {Oksana Gryniuk},
  journal      = {Perspectives of Innovations, Economics & Business},
  year         = {2017},
  doi          = {https://doi.org/https://doi.org/10.15208/pieb.2017.04},
}

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Application of 2k full factorial experiment for the determination of risk factors significance of oil and gas production enterprises’ activity

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.