Mining association between different emotion classes present in users posts of social media

Author:

Naznin Farha,Hazarika Irani,Laskar Dwipen,Mahanta Anjana Kakoti

Publisher

Springer Science and Business Media LLC

Reference25 articles.

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2. Agrawal R, Srikant R (2000) Fast algorithms for mining association rules. In: Proceedings of 20th international conference on very large data bases VLDB, vol 1215, no 08

3. Alhuzali H, Zhang T, Ananiadou S (2022) Emotions and topics expressed on twitter during the Covid-19 pandemic in the United Kingdom: comparative geolocation and text mining analysis. J Med Int Res 24(10):40323

4. Cardone B, Martino FD, Miraglia V (2023) A fuzzy-based emotion detection method to classify the relevance of pleasant/unpleasant emotions posted by users in reviews of service facilities. Appl Sci 13(10):5893

5. Delgado M, Marín N, Sánchez D, Vila MA (2003) Fuzzy association rules: general model and applications. IEEE Trans Fuzzy Syst 11(2):214–225

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