Supplementary Material for review——Revealing the co-occurrence patterns of the group emotions from social media data by Yang Hua (21399140)

“…</p><p dir="ltr">表格部分</p><p dir="ltr">1.Table 3：Model accuracy assessment</p><p dir="ltr">脚本路径：’code/bert.py’</p><p dir="ltr">输入数据：’data/wh_data_cleaned.csv’</p><p dir="ltr">输出位置：’data/emotion_prediction_wh.csv’</p><p dir="ltr">说明：Output Precision, Recall, F1 for each emotion, and calculate the weighted average of Precision, Recall, F1</p><p dir="ltr">2.Table 4： Examples of different types of emotional structures</p><p dir="ltr">脚本路径：’code/countnum.py’</p><p dir="ltr">输入数据：’data/emotion_prediction_wh.csv’</p><p dir="ltr">输出位置：’data/emotion_prediction_wh.csv’</p><p dir="ltr">说明：Determine whether an emotion is of a single type, a dominant subsidiary type, or one of the composite types by using emotion probabilities and entropy values</p><p dir="ltr">3.Table 5-6： Examples of different types of emotional structures</p><p dir="ltr">①脚本路径：’code/lat_lon.py’</p><p dir="ltr">输入数据：’data/emotion_prediction_wh.csv’</p><p dir="ltr">输出位置：’result/bert/wh/128/grid_lat_lon.csv’</p><p dir="ltr">说明：The study area can be gridded by running the file.…”

Judge the Votes: A System to Classify Bug Reports and Give Suggestions by Emre Dinç (21720032)

“…The code folder contains the .ipynb files we used when creating the dataset, training ML models, fine-tuning BERT-based models, and getting predictions from LLMs with both zero-shot and few-shot settings. …”

Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018) by ChenXi Zhu (21374876)

“…</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…”

<b>Historical Nifty 50 Constituent Weights (Rolling 20-Year Window)</b> by Sukrit Bera (22314922)

“…</li><li>validate.py: A Python script to check weights.csv for data integrity issues (e.g., ensuring daily weights sum to 100).…”

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows by Pierre-Alexis DELAROCHE (22092572)

“…When using this data in your research, please cite: @dataset{ecological_benchmark_2025, title={An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. …”