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Various comparative experiments show that the EDLM model achieves impressive results in product feature extraction and outperforms existing state-of-the-art models used for Chinese online reviews. Moreover, this study can help product managers select the product features that have significant impact on enhancing customer satisfaction and improve products accordingly.<\/jats:p>","DOI":"10.1051\/ro\/2023046","type":"journal-article","created":{"date-parts":[[2023,4,5]],"date-time":"2023-04-05T08:23:46Z","timestamp":1680683026000},"page":"1125-1147","source":"Crossref","is-referenced-by-count":10,"title":["Product feature extraction from Chinese online reviews: application to product improvement"],"prefix":"10.1051","volume":"57","author":[{"given":"Lili","family":"Shi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoquan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"250","published-online":{"date-parts":[[2023,5,18]]},"reference":[{"key":"R1","unstructured":"Chen X., Xu L., Liu Z., Sun M. and Luan H., Joint learning of character and word embeddings, in Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)."},{"key":"R2","doi-asserted-by":"crossref","unstructured":"Garcia-Bordils S., Mafla A., Biten A.F., Nuriel O., Aberdam A., Mazor S., Litman R. and Karatzas D., Out-of-vocabulary challenge report, in Computer Vision\u2013ECCV 2022 Workshops: Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part IV. 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