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The study employed the Fast-LCF-ATEPC model for Alibaba (intl') reviews, achieving 91.06% APC accuracy and 83.09% ATE F1 score. It revealed mixed user experiences in areas like usability, pricing, and shipping, aiming to enhance Alibaba's e-commerce user satisfaction.

  • Updated Jan 29, 2024
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This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly…

  • Updated Dec 27, 2021
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