Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
- DOI
- 10.1016/j.engappai.2015.06.007
- Published
- 2016-01
- Container
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.engappai.2015.06.007,
title = {Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features},
author = {Haiqing Zhang and Aicha Sekhari and Yacine Ouzrout and Abdelaziz Bouras},
year = {2016},
journal = {Engineering Applications of Artificial Intelligence},
doi = {10.1016/j.engappai.2015.06.007},
url = {https://doi.org/10.1016/j.engappai.2015.06.007}
}RIS
TY - JOUR TI - Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features AU - Haiqing Zhang AU - Aicha Sekhari AU - Yacine Ouzrout AU - Abdelaziz Bouras PY - 2016 JO - Engineering Applications of Artificial Intelligence DO - 10.1016/j.engappai.2015.06.007 UR - https://doi.org/10.1016/j.engappai.2015.06.007 ER -
APA
Zhang, H., Sekhari, A., Ouzrout, Y., & Bouras, A. (2016). Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2015.06.007
Source records
- crossref · retrieved 2026-11-10T11:39:59.597Z