Journal of Huaiyin Teachers College(Natural Science Edition), Volume. 24, Issue 2, 107(2025)
Quantitative Research on Product Pain Points Based on Opinion Extraction
[1] [1] RANA T A, CHEAH Y N. Sequential patterns rule-based approach for opinion target extraction from customer reviews[J]. Journal of Information Science, 2019, 45(5): 643-655.
[2] [2] AUNG S S. Analysis on opinion words extraction in electronic product reviews[J]. International Journal of Systems and Software Security and Protection, 10(1): 47-61.
[7] [7] TUBISHAT M, IDRIS N, ABUSHARIAH M. Explicit aspects extraction in sentiment analysis using optimal rules combination[J]. Future Generation Computer Systems, 2021, 114: 448-480.
[8] [8] CHEN Z X, HUANG H, LIU B, et al. Semantic and syntactic enhanced aspect sentiment triplet extraction[J].2021. DOI: 10.48550/arXiv.2106.03315.
[10] [10] SANTHIRAN R, VARATHAN K D, CHIAM Y K. Feature extraction from customer reviews using enhanced rules[J]. PeerJ Computer Science, 2024, 10: e1821.
[11] [11] ZHAO X W, ZHOU Y, XU X J. Dual encoder: exploiting the potential of syntactic and semantic for aspect sentiment triplet extraction[J].2024. DOI: 10.48550/arXiv.2402.15370.
[12] [12] CHE W X, FENG Y L, QIN L B, et al. N-LTP: an open-source neural language technology platform for Chinese[C]//Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2021.
[14] [14] KU L W, CHEN H H. Mining opinions from the web: beyond relevance retrieval[J]. Journal of the American Society for Information Science and Technology, 2007, 58(12): 1838-1850.
[15] [15] LI J, SUN M S. Experimental study on sentiment classification of Chinese review using machine learning techniques[C]//2007 International Conference on Natural Language Processing and Knowledge Engineering.2007: 393-400.
[16] [16] FU X H, LIU G, GUO Y Y, et al. Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon[J]. Knowledge-Based Systems, 2013, 37: 186-195.
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WANG Zhaoyi, CHONG Choyyoke, ZHANG Liyuan. Quantitative Research on Product Pain Points Based on Opinion Extraction[J]. Journal of Huaiyin Teachers College(Natural Science Edition), 2025, 24(2): 107
Received: May. 14, 2024
Accepted: Aug. 22, 2025
Published Online: Aug. 22, 2025
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