Man pages for transforEmotion
Sentiment Analysis for Text, Image and Video using Transformer Models
| add_vision_model | User-Friendly Vision Model Management Functions |
| as_rag_table | Convert RAG JSON to a table |
| calculate_moving_average | Calculate the moving average for a time series |
| check_findingemo_quality | Check FindingEmo Dataset Quality |
| check_nvidia_gpu | Install Necessary Python Modules |
| delete_transformer | Delete a Transformer Model |
| dlo_dynamics | Dynamics function of the DLO model |
| dot-init_builtin_models | Initialize Built-in Vision Models |
| dot-vision_model_registry | Vision Model Registry for transforEmotion Package |
| download_findingemo_data | Download FindingEmo-Light Dataset |
| emotions | Emotions Data |
| emoxicon_scores | Emoxicon Scores |
| emphasize | Generate and emphasize sudden jumps in emotion scores |
| evaluate_emotions | Evaluate Emotion Classification Performance |
| generate_observables | Generate observable emotion scores data from latent variables |
| generate_q | Generate a matrix of Dynamic Error values for the DLO... |
| get_vision_model_config | Get Vision Model Configuration |
| image_scores | Calculate image scores using a Hugging Face CLIP model |
| image_scores_dir | Calculate image scores for all images in a directory (fast... |
| is_vision_model_registered | Check if Vision Model is Registered |
| list_vision_models | List Available Vision Models |
| load_findingemo_annotations | Load FindingEmo-Light Annotations |
| map_discrete_to_vad | Map Discrete Emotions to VAD (Valence-Arousal-Dominance)... |
| map_to_emo8 | Map FindingEmo Emotions to Emo8 Labels |
| MASS_mvrnorm | Multivariate Normal (Gaussian) Distribution |
| neo_ipip_extraversion | NEO-PI-R IPIP Extraversion Item Descriptions |
| nlp_scores | Natural Language Processing Scores |
| parse_rag_json | Parse RAG JSON |
| plot.emotion_evaluation | Plot Evaluation Results |
| plot_sim_emotions | Plot the latent or the observable emotion scores. |
| prepare_findingemo_evaluation | Prepare FindingEmo Data for Evaluation |
| print.emotion_evaluation | Print method for emotion evaluation results |
| punctuate | Punctuation Removal for Text |
| rag | Retrieval-augmented Generation (RAG) |
| rag_json_utils | RAG JSON utilities |
| rag_retrievers | RAG retriever registry and helpers |
| rag_sentemo | Structured Emotion/Sentiment via RAG (Small LLMs) |
| register_retriever | Register a custom retriever |
| register_vision_model | Register a Vision Model |
| remove_vision_model | Remove a Vision Model |
| sentence_similarity | Sentiment Analysis Scores |
| setup_gpu_modules | Install GPU Python Modules |
| setup_miniconda | Deprecated: Miniconda setup (use uv instead) |
| setup_modules | Setup Required Python Modules |
| setup_popular_models | Quick Setup for Popular Models |
| show_vision_models | Show Available Vision Models |
| simulate_video | Simulate latent and observed emotion scores for a single... |
| stop_words | Stop Words from the _tm_ Package |
| summary.emotion_evaluation | Summary method for emotion evaluation results |
| te_cleanup_default_venv | Remove reticulate's default virtualenv (r-reticulate) |
| tinytrolls | Russian Trolls Data - Small Version |
| transforEmotion-package | transforEmotion-package |
| transformer_scores | Sentiment Analysis Scores |
| vad_scores | Direct VAD (Valence-Arousal-Dominance) Prediction |
| validate_rag_json | Validate a RAG JSON structure |
| validate_rag_predictions | Validate RAG Emotion/Sentiment Predictions |
| video_scores | Run FER on a YouTube video using a Hugging Face CLIP model |
