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- W4385845144 abstract "Recently, the field of text mining gained more attention due to its enormous opportunities and challenging problems in the exponential growth of unstructured textual data. People frequently express their thoughts in complicated ways, making automated labelling of textual data challenging. The usage of mislabelled data sets reduced the efficiency of automated labelling tasks. In this paper, we proposed an opinion mining-based fake review detection using deep learning technique to express word semantic sentiment. SentiWordNet and WordNet lemmas are used to retrieve word synsets and sentiment scores. The Amazon shoes review data set is used for implementation. The proposed model achieved 92% accuracy for the Amazon shoes review data set." @default.
- W4385845144 created "2023-08-16" @default.
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- W4385845144 date "2023-01-01" @default.
- W4385845144 modified "2023-10-17" @default.
- W4385845144 title "Opinion Mining-Based Fake Review Detection Using Deep Learning Technique" @default.
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- W4385845144 doi "https://doi.org/10.1007/978-981-99-2058-7_2" @default.
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