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  "Title": "Sentiment Analysis for Text, Image and Video using Transformer\nModels",
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  "Author": "Alexander Christensen [aut]\n(<https://orcid.org/0000-0002-9798-7037>), Hudson Golino [aut]\n(<https://orcid.org/0000-0002-1601-1447>), Aleksandar Tomašević\n[aut, cre] (<https://orcid.org/0000-0003-4863-6051>)",
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    "simulate_video",
    "te_cleanup_default_venv",
    "transformer_scores",
    "vad_scores",
    "validate_rag_json",
    "validate_rag_predictions",
    "video_scores"
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      "class": [
        "data.frame",
        "emoxicon"
      ],
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        "AMUSED",
        "ANGRY",
        "ANNOYED",
        "DONT_CARE",
        "HAPPY",
        "INSPIRED",
        "SAD"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "NEO-PI-R IPIP Extraversion Item Descriptions",
      "object": "neo_ipip_extraversion",
      "file": "neo_ipip_extraversion.RData",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "stop_words",
      "title": "Stop Words from the _tm_ Package",
      "object": "stop_words",
      "file": "stop_words.RData",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "tinytrolls",
      "title": "Russian Trolls Data - Small Version",
      "object": "tinytrolls",
      "file": "tinytrolls.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "content",
        "author",
        "publish_date",
        "followers",
        "updates",
        "account_type"
      ],
      "rows": 22143,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "transforEmotion-package",
      "title": "transforEmotion-package",
      "topics": [
        "transforEmotion-package",
        "transforEmotion"
      ]
    },
    {
      "page": "dot-init_builtin_models",
      "title": "Initialize Built-in Vision Models",
      "topics": [
        ".init_builtin_models"
      ]
    },
    {
      "page": "dot-vision_model_registry",
      "title": "Vision Model Registry for transforEmotion Package",
      "topics": [
        ".vision_model_registry"
      ]
    },
    {
      "page": "add_vision_model",
      "title": "User-Friendly Vision Model Management Functions",
      "topics": [
        "add_vision_model"
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    {
      "page": "as_rag_table",
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      "topics": [
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      "page": "calculate_moving_average",
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      "topics": [
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    },
    {
      "page": "check_findingemo_quality",
      "title": "Check FindingEmo Dataset Quality",
      "topics": [
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    },
    {
      "page": "check_nvidia_gpu",
      "title": "Install Necessary Python Modules",
      "topics": [
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    },
    {
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      "topics": [
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    },
    {
      "page": "download_findingemo_data",
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      "topics": [
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    },
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      "title": "Emoxicon Scores",
      "topics": [
        "emoxicon_scores"
      ]
    },
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      "page": "emphasize",
      "title": "Generate and emphasize sudden jumps in emotion scores",
      "topics": [
        "emphasize"
      ]
    },
    {
      "page": "evaluate_emotions",
      "title": "Evaluate Emotion Classification Performance",
      "topics": [
        "evaluate_emotions"
      ]
    },
    {
      "page": "generate_observables",
      "title": "Generate observable emotion scores data from latent variables",
      "topics": [
        "generate_observables"
      ]
    },
    {
      "page": "generate_q",
      "title": "Generate a matrix of Dynamic Error values for the DLO simulation",
      "topics": [
        "generate_q"
      ]
    },
    {
      "page": "get_vision_model_config",
      "title": "Get Vision Model Configuration",
      "topics": [
        "get_vision_model_config"
      ]
    },
    {
      "page": "image_scores",
      "title": "Calculate image scores using a Hugging Face CLIP model",
      "topics": [
        "image_scores"
      ]
    },
    {
      "page": "image_scores_dir",
      "title": "Calculate image scores for all images in a directory (fast batch)",
      "topics": [
        "image_scores_dir"
      ]
    },
    {
      "page": "is_vision_model_registered",
      "title": "Check if Vision Model is Registered",
      "topics": [
        "is_vision_model_registered"
      ]
    },
    {
      "page": "list_vision_models",
      "title": "List Available Vision Models",
      "topics": [
        "list_vision_models"
      ]
    },
    {
      "page": "load_findingemo_annotations",
      "title": "Load FindingEmo-Light Annotations",
      "topics": [
        "load_findingemo_annotations"
      ]
    },
    {
      "page": "map_discrete_to_vad",
      "title": "Map Discrete Emotions to VAD (Valence-Arousal-Dominance) Framework",
      "topics": [
        "map_discrete_to_vad"
      ]
    },
    {
      "page": "map_to_emo8",
      "title": "Map FindingEmo Emotions to Emo8 Labels",
      "topics": [
        "map_to_emo8"
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    },
    {
      "page": "MASS_mvrnorm",
      "title": "Multivariate Normal (Gaussian) Distribution",
      "topics": [
        "MASS_mvrnorm"
      ]
    },
    {
      "page": "neo_ipip_extraversion",
      "title": "NEO-PI-R IPIP Extraversion Item Descriptions",
      "topics": [
        "neo_ipip_extraversion"
      ]
    },
    {
      "page": "nlp_scores",
      "title": "Natural Language Processing Scores",
      "topics": [
        "nlp_scores"
      ]
    },
    {
      "page": "parse_rag_json",
      "title": "Parse RAG JSON",
      "topics": [
        "parse_rag_json"
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    },
    {
      "page": "plot_sim_emotions",
      "title": "Plot the latent or the observable emotion scores.",
      "topics": [
        "plot_sim_emotions"
      ]
    },
    {
      "page": "plot.emotion_evaluation",
      "title": "Plot Evaluation Results",
      "topics": [
        "plot.emotion_evaluation"
      ]
    },
    {
      "page": "prepare_findingemo_evaluation",
      "title": "Prepare FindingEmo Data for Evaluation",
      "topics": [
        "prepare_findingemo_evaluation"
      ]
    },
    {
      "page": "print.emotion_evaluation",
      "title": "Print method for emotion evaluation results",
      "topics": [
        "print.emotion_evaluation"
      ]
    },
    {
      "page": "punctuate",
      "title": "Punctuation Removal for Text",
      "topics": [
        "punctuate"
      ]
    },
    {
      "page": "rag",
      "title": "Retrieval-augmented Generation (RAG)",
      "topics": [
        "rag"
      ]
    },
    {
      "page": "rag_json_utils",
      "title": "RAG JSON utilities",
      "topics": [
        "rag_json_utils"
      ]
    },
    {
      "page": "rag_sentemo",
      "title": "Structured Emotion/Sentiment via RAG (Small LLMs)",
      "topics": [
        "rag_sentemo"
      ]
    },
    {
      "page": "register_retriever",
      "title": "Register a custom retriever",
      "topics": [
        "register_retriever"
      ]
    },
    {
      "page": "register_vision_model",
      "title": "Register a Vision Model",
      "topics": [
        "register_vision_model"
      ]
    },
    {
      "page": "remove_vision_model",
      "title": "Remove a Vision Model",
      "topics": [
        "remove_vision_model"
      ]
    },
    {
      "page": "sentence_similarity",
      "title": "Sentiment Analysis Scores",
      "topics": [
        "sentence_similarity"
      ]
    },
    {
      "page": "setup_gpu_modules",
      "title": "Install GPU Python Modules",
      "topics": [
        "setup_gpu_modules"
      ]
    },
    {
      "page": "setup_miniconda",
      "title": "Deprecated: Miniconda setup (use uv instead)",
      "topics": [
        "setup_miniconda"
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      "page": "setup_modules",
      "title": "Setup Required Python Modules",
      "topics": [
        "setup_modules"
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    },
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      "page": "setup_popular_models",
      "title": "Quick Setup for Popular Models",
      "topics": [
        "setup_popular_models"
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    },
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      "page": "show_vision_models",
      "title": "Show Available Vision Models",
      "topics": [
        "show_vision_models"
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      "page": "simulate_video",
      "title": "Simulate latent and observed emotion scores for a single \"video\"",
      "topics": [
        "simulate_video"
      ]
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    {
      "page": "stop_words",
      "title": "Stop Words from the _tm_ Package",
      "topics": [
        "stop_words"
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      "title": "Summary method for emotion evaluation results",
      "topics": [
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      "title": "Remove reticulate's default virtualenv (r-reticulate)",
      "topics": [
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    },
    {
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      "title": "Russian Trolls Data - Small Version",
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      ]
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    {
      "page": "transformer_scores",
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        "transformer_scores"
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      "topics": [
        "vad_scores"
      ]
    },
    {
      "page": "validate_rag_json",
      "title": "Validate a RAG JSON structure",
      "topics": [
        "validate_rag_json"
      ]
    },
    {
      "page": "validate_rag_predictions",
      "title": "Validate RAG Emotion/Sentiment Predictions",
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        "validate_rag_predictions"
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    },
    {
      "page": "video_scores",
      "title": "Run FER on a YouTube video using a Hugging Face CLIP model",
      "topics": [
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      ]
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