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Analytical procedure for categorizing and emotion-rating CSN images from MTurk responses

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Analysis of CSN Image Categorization

Uses shlab.imgct tools and interacts with data via the mounted shared drive directory imgct.

Data

Image categorization task data should live under a single root directory. Within, six main subdirectories with relevant data types will exist.

.
├── blocks
│   ├── block_01.txt
│   .   .
│   .   .
│   .   .
│   └── block_18.txt
├── clean
│   ├── clean_01.tsv
│   .   .
│   .   .
│   .   .
│   └── clean_18.tsv
├── imports
│   ├── iaps_emotion_ratings.xlsx
│   ├── naps_be_emotion_ratings.xlsx
│   ├── naps_ero_emotion_ratings.xlsx
│   └── oasis_emotion_ratings.xlsx
├── keys
│   ├── categorization_key.txt
│   └── validation_key.txt
├── raw
│   ├── erotic_image_experimenter_ratings.csv
│   └── qualtrics.tsv
└── results
    ├── all_participant_validations.tsv
    ├── categorizations.tsv
    ├── categorized_0_valid.tsv
    .   .
    .   . 
    .   .
    ├── categorized_5_valid.tsv
    ├── general_emotion_ratings.tsv
    └── master_table.tsv

Notebooks

This list of notebooks outlines the analytical procedure used to evaluate CSN images.

Preparing Data

Analyzing Data

Master Results Data

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Analytical procedure for categorizing and emotion-rating CSN images from MTurk responses

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