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- W3156002161 abstract "The chapter focus on the data science field and it concentrates on the initial stage as a novel focused crawler used for collecting the reviews then the next stage of a database similar to bigdata (sentiments) preprocessing along with it cleanses to deal with noise as well as the missing data in many reviews. The frequent pattern growth of associating rule mining, part of speech (POS), information on interaction, and sentiwordnet2 is used to detect and extract feature words frequently, and therefore, features and sentimental words are necessary to extract the orientation detection. Finally, for the grouping of contraception procedures, we use data science hierarchical agglomerative clustering algorithm." @default.
- W3156002161 created "2021-04-26" @default.
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- W3156002161 date "2021-01-01" @default.
- W3156002161 modified "2023-09-24" @default.
- W3156002161 title "E-Focused Crawler and Hierarchical Agglomerative Clustering Approach for Automated Categorization of Feature-Level Healthcare Sentiments on Social Media" @default.
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- W3156002161 doi "https://doi.org/10.1007/978-981-33-6919-1_7" @default.
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