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libsvm  (Reddit Inc)
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Reddit Inc libsvm
Summary of machine learning studies of detection of depression using text data from social media.
Libsvm, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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libsvm library  (Rulex Inc)
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Rulex Inc libsvm library
Summary of machine learning studies of detection of depression using text data from social media.
Libsvm Library, supplied by Rulex Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/libsvm library/product/Rulex Inc
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in-house modification of the libsvm software libsvmtl  (Informatik Inc)
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Informatik Inc in-house modification of the libsvm software libsvmtl
Summary of machine learning studies of detection of depression using text data from social media.
In House Modification Of The Libsvm Software Libsvmtl, supplied by Informatik Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/in-house modification of the libsvm software libsvmtl/product/Informatik Inc
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field-programmable gate array (fpga) platforms  (Xilinx Inc)
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Xilinx Inc field-programmable gate array (fpga) platforms
Summary of machine learning studies of detection of depression using text data from social media.
Field Programmable Gate Array (Fpga) Platforms, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/field-programmable gate array (fpga) platforms/product/Xilinx Inc
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Summary of machine learning studies of detection of depression using text data from social media.

Journal: JMIR Mental Health

Article Title: Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

doi: 10.2196/27244

Figure Lengend Snippet: Summary of machine learning studies of detection of depression using text data from social media.

Article Snippet: Sadeque et al [ ], 2017 , 888 users (136 depressed/752 nondepressed), the ages of the samples were not reported , Reddit , F-measure: LibSVM u =0.40, WekaSVM v =0.30, RNN=0.34, Ensemble=0.45 , User-declared , LibSVM, RNN, Ensemble, WekaSVM , Depression lexicon y , metamap features z , 5-fold cross-validation , Observational cohort study.

Techniques: Control, Labeling

Summary of the machine learning approaches used in the depression detection studies.

Journal: JMIR Mental Health

Article Title: Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review

doi: 10.2196/27244

Figure Lengend Snippet: Summary of the machine learning approaches used in the depression detection studies.

Article Snippet: Sadeque et al [ ], 2017 , 888 users (136 depressed/752 nondepressed), the ages of the samples were not reported , Reddit , F-measure: LibSVM u =0.40, WekaSVM v =0.30, RNN=0.34, Ensemble=0.45 , User-declared , LibSVM, RNN, Ensemble, WekaSVM , Depression lexicon y , metamap features z , 5-fold cross-validation , Observational cohort study.

Techniques: