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| # social-stat | |
| API application for social network analysis. | |
| # Endpoints | |
| ## Get /predict/{video_id} | |
| Returns `pandas` DataFrame with all `commentThreads` of a `YouTube` video with emotion scores estimated by [SamLowe/roberta-base-go_emotions](https://huggingface.co/SamLowe/roberta-base-go_emotions). | |
| <details> | |
| <summary>All DataFrame columns:</summary> | |
| - comment_id | |
| - video_id | |
| - channel_id | |
| - author_display_name | |
| - text_original | |
| - text_display | |
| - published_at | |
| - updated_at | |
| - like_count | |
| - can_reply | |
| - total_reply_count | |
| - neutral | |
| - approval | |
| - annoyance | |
| - disapproval | |
| - realization | |
| - admiration | |
| - disappointment | |
| - excitement | |
| - disgust | |
| - confusion | |
| - joy | |
| - anger | |
| - optimism | |
| - amusement | |
| - gratitude | |
| - surprise | |
| - sadness | |
| - fear | |
| - curiosity | |
| - love | |
| - embarrassment | |
| - desire | |
| - caring | |
| - pride | |
| - relief | |
| - grief | |
| - remorse | |
| - nervousness | |
| </details> | |
| # Installation and Running | |
| ``` | |
| git clone https://github.com/molokhovdmitry/social-stat | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| uvicorn main:app --reload | |
| ``` | |