zscore_chats_and_conversation module

utils.zscore_chats_and_conversation.get_zscore_across_all_chats(chats_data, on_column)

Calculate the z-score of a specified column for each chat message across the entire dataset.

This function computes the z-score for the values in the specified numeric column, comparing each value to the mean and standard deviation of that column across all chat messages in the dataset.

Parameters:

  • chats_data (pandas.DataFrame) – The DataFrame containing chat data, where each row represents one message.

  • on_column (str) – The name of the numeric column on which the z-score is to be calculated.

Returns:

A Series containing the z-scores for each message in the specified column.

Return type:

pandas.Series

utils.zscore_chats_and_conversation.get_zscore_across_all_conversations(chats_data, on_column, conversation_id_col)

Calculate the z-score of a specified column for each chat message within each conversation.

This function computes the z-score for the values in the specified numeric column, comparing each value to the mean and standard deviation of that column within each conversation.

Parameters:

  • chats_data (pandas.DataFrame) – The DataFrame containing chat data, where each row represents one message.

  • on_column (str) – The name of the numeric column on which the z-score is to be calculated.

  • conversation_id_col (str) – A string representing the column name that should be selected as the conversation ID. Defaults to “conversation_num”.

Returns:

A Series containing the z-scores for each message in the specified column within each conversation.

Return type:

pandas.Series