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- W3153324661 abstract "Depression is a mental disorder that is characterized by a general mood or feeling of low self-esteem, loss of interest towards daily activities and low energy within a particular person. It is a very serious mental condition and its automatic detection through online social media platforms like Twitter could help identifying depressed individuals remotely. This paper suggests a novel method to extract tweets indicating depression using word lists. Various classification algorithms like SVM, KNN, Naive Bayes and Random Forests have been used to classify the individual tweets as to whether they indicate depression in the subject or not. Metrics like F1-Score has been used the verify and compare the results of the models using an unseen test dataset." @default.
- W3153324661 created "2021-04-26" @default.
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- W3153324661 date "2021-01-01" @default.
- W3153324661 modified "2023-10-13" @default.
- W3153324661 title "Analyzing Performance of Classification Algorithms in Detection of Depression from Twitter" @default.
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- W3153324661 doi "https://doi.org/10.1007/978-3-030-73100-7_76" @default.
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