Simple Python GUI to segment free recall transcripts into discrete events and categorize those events
The current version allows users to copy transcribed text into the GUI and then highlight blocks of text and click category buttons to assign words/phrases to specific categories. Current categories are based on the Autobiographical Memory Interview (Kopelman, 1989), and adapted for the story recall paradigm, to differentiate between details from the original story and details added by the participant. When users are finished assigning categories to transcripts, they can save out a csv file with one column for each categorized utterance and one column for its assigned category. The text box is then cleared so that another transcript can be processed.
The only dependency required to use this GUI on a Python system is tkinter. Run 'pip install tk' in the terminal to download, but refer to as 'tkinter' in import statements (e.g., 'import tkinter as tk'). Not sure why the pip packaging is slightly different. To open GUI enter 'python event_code_gui.py' into terminal
This GUI is super simple and can be easily adapted for any free recall coding or any work aiming to segment passages of text into smaller components. The main edits you'll need to make are 1. replacing the categories on initialization to your own categories and 2. replacing the categories and colors in the get_category_color function. Color codes are hexadecimal, and if you run out of differentiable colors to highlight text with, this code could be adapted so that the text is colored based on category rather than highilghted. The rest of the code should be commented sufficiently to make changes if you'd like to further adapt the GUI.
- Highlighting does not function like word. E.g. If text (5,10) was labeled as event, and the user expands that tag to (3,10) or relabel the range under a different tag, the code would not remove/change the existing tag on (5,10), and count the (3,10) as a separate entry in the csv file. To change the tag on already labeled text, currently we need to: 1. select the already labeled &highlighted text, press "clear" to delete its label. 2. Add a new label.
- Recall transcripts are saved in
parent/recall_transcript/{story}/{subject}_{story}.txt - Coded details are saved in
parent/recall_coding/{story}/coded_details/{subject}_{story}_coding.csv - Clean recall only transcripts are saved in
parent/recall_coding/{story}/clean_recall/{subject}_{story}_recall_only.txt - Event assignment templates are saved in
parent/recall_coding/{story}/event_assignment/{subject}_{story}_template.csv