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- W3155745033 abstract "Emotion analysis has been reviewed in numerous fields like behavior, product ratings and industry. In recent years, it has shown an essential aspect in emotional analysis or sentiment analysis. This study uses tweets about services of Indian Railways provided to the travelers during Deepawali week. A methodology based on fuzzy logic has been introduced for solving the problem of emotion detection. Several different features extracted from each tweets have been used as inputs in the proposed fuzzy logic-based model. A number of fuzzy rules are formulated, and a defuzzification method is used in order to achieve required classification results. The analysis shows that the overall positivity depends upon the morning and evening situations faced by the users from the services offered." @default.
- W3155745033 created "2021-04-26" @default.
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- W3155745033 date "2021-01-01" @default.
- W3155745033 modified "2023-10-16" @default.
- W3155745033 title "Emotion Detection for Traveling Services Using Rule-Based Fuzzy Inference System" @default.
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- W3155745033 doi "https://doi.org/10.1007/978-981-33-4893-6_42" @default.
- W3155745033 hasPublicationYear "2021" @default.
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