Cleaning steps of parsed raw texts. by Alix Auzepy (17327790)

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Classification Report for Deep Learning Models. by Jacqueline Jia Hsin Hu (22783501)

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The architecture of the proposed methodology for in-text citation sentiment analysis for identification of important citation. by Arshad Iqbal (375576)

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Performance of classification models on original language (untranslated), and English-translated conversations for each topic of interest. by Richard T. Lester (14349390)

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DataSheet1_An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification.xlsx by Ning Cheng (483330)

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DataSheet2_An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification.xlsx by Ning Cheng (483330)

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General architecture model (based on conventional frameworks). by Arshad Iqbal (375576)

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Architecture of LSTM Model used for citation analysis. by Arshad Iqbal (375576)

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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

“…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…”

Example of Feature Vectors for Text. by Ming Gao (115719)

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Example death certificate free text. by Patrick J. Ward (7507163)

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Problem solution process model. by Mohammadreza Namdar (22439057)

The effect of increasing/decreasing confederates’ confidence on participants’ responses. by Winny W. Y. Yue (11146428)

Involvement of POm increases as discriminability of texture stimuli decreases. by Jia Qi (400499)

List of 421 genes whose expression is increased by galactose and decreased by any of the HAT inhibitors. by Masaya Nagaya (13851123)

List of 412 genes whose expression is decreased by galactose and increased by any of the HAT inhibitors. by Masaya Nagaya (13851123)

Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

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Data Sheet 1_Weakly supervised text classification on free-text comments in patient-reported outcome measures.pdf by Anna-Grace Linton (21216485)

“…Machine learning analysis methods are largely unsupervised, necessitating post-analysis interpretation. Weakly supervised text classification (WSTC) can be a valuable analytical method of analysis for classifying domain-specific text data, especially when limited labelled data are available. …”

Proposed model architecture Augment Machine learning model. by Sonia Saini (14789678)

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Original Text Data. by Jacqueline Jia Hsin Hu (22783501)

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