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Keywords: natural language processing
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Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041402.
Paper No: MD-22-1296
Published Online: December 9, 2022
..., the current research is mainly focused on sentiment classification at the attribute, sentence, or document level [ 29 – 36 ], which would inevitably lead to information loss due to the aggregation and quantification of user feedback and opinions. Natural language processing (NLP) techniques...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041402.
Paper No: MD-21-1354
Published Online: December 17, 2021
... to predict design metrics from the design itself and SVS survey information. We show that incorporating natural language processing (NLP) improves prediction results across design metrics, and that clear distinctions in the predictability of certain metrics exist. Our code and additional information about...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021403.
Paper No: MD-21-1418
Published Online: September 21, 2021
... by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 29 06 2021 03 09 2021 04 09 2021 21 09 2021 design automation new product development design evaluation image processing natural language processing deep...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2021, 143(6): 061403.
Paper No: MD-20-1442
Published Online: November 20, 2020
.../1.4030159 [40] Zeng , J. , Liu , Y. , Su , J. , Ge , Y. , Lu , Y. , Yin , Y. , and Luo , J. , 2019 , “ Iterative Dual Domain Adaptation for Neural Machine Translation ,” Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121104.
Paper No: MD-19-1173
Published Online: October 30, 2019
... identify the usage contexts using the survey-based method or subjectively determine them. The proposed methodology, on the other hand, uses machine learning and Natural Language Processing tools to identify and cluster usage contexts from a large volume of customer reviews. Furthermore, aspect sentiment...