autoAIscore

Code to automatically extract data from Autobiographical Interview (AI) transcripts, scored by hand in Microsoft Word.

Citation

Robert Seymour. (2022). neurofractal/autoAIscore: v0.11 (v0.11). Zenodo. https://doi.org/10.5281/zenodo.7225874

Installing Python

1. Download and Install Anaconda Python from HERE
2. Download the autoAIscore repository in Documents (or wherever you want it)
3. Open Anaconda3 --> Anaconda Prompt
4. In the terminal type:

pip install python-docx lxml 

5. In the terminal type:

# Change path to match your Documents path
cd /users/XXX/Documents/autoAIscore

6. To test whether the script(s) are working, in the terminal type:

# Change paths to match your data
python process_AIscores /users/XXX/Documents/autoAIscore/test_AI /users/XXX/Documents/autoAIscore/test_AI/out.csv

!! Email Rob or IT Support if you have any issues !!

Filbury Study

Marking .docx files

• One document should hold transcriptions each participant and for all events
• Events should be clearly separated by 'Event XX' before each transcription of the event
• For each event, split details into new paragraphs (new line) according to AI scoring protocols
• For each detail you wish to score, highlight the relevent text and add a new comment

Speed this up by creating a keyboard shortcut for 'New Comment'

• The comment should contain a 4 letter code, corresponding to the (adapted) Autobiographical Interview scoring protocol:

• Letter 1: I (Internal Detail) or E (External Detail)
• Letter 2-3: EV (Event), PE (Perceptual), TI (Time), PL (Place), TH (Thought/Emotion), SE (Semantic), RE (Repetition), OT (Other)
• Letter 4: T (True), F (False), U (Unverifiable)

It should look like this:

Running the code

In the command line run (for example):

python3 process_AIscores_filbury.py test_filbury/test_participant01.docx

The script should print any warnings/errors encountered, and export a .csv file with the same name as the .docx file, organised like so:

Conventional AI

Marking .docx files

• Each folder should contain separate transcription documents for each memory, from one participant and NO OTHER .docx FILES
• Split details into new paragraphs (new line) according to AI scoring protocol
• For each detail you wish to score, highlight the relevent text and add a new comment

Speed this up by creating a keyboard shortcut for 'New Comment'

• The comment should contain a 3 letter code, corresponding to the Autobiographical Interview scoring protocol:

• Letter 1: I (Internal Detail) or E (External Detail)
• Letter 2-3: EV (Event), PE (Perceptual), TI (Time), PL (Place), TH (Thought/Emotion), SE (Semantic), RE (Repetition), OT (Other)

It should look like this:

Running the code

In the command line run (for example):

python3 process_AIscores.py test_AI/ testAI/out.csv

The script should print any warnings/errors encountered, and export a .csv file organised like so: