Dataset and code for predicting users's indirect aggression

Code:

Run the Python script main.py to build and evaluate the model.

Data:

"Raw_data" DIRECTORY includes files for each users' profile and user-generated content.``

"Survey_score" FILE contains the users' scores for three dimension of indirect aggression.

The column "Anonymous_id" in the XLSX FILE can be matched to the names of JSON FILES in "Raw_data" DIRECTORY.

user_features+label.zip is the processed file with users' features and labels.

Note that all the information is strictly anonymized.