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  "Title": "An Integrated Framework for Textual Sentiment Time Series\nAggregation and Prediction",
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  "Description": "Optimized prediction based on textual sentiment,\naccounting for the intrinsic challenge that sentiment can be\ncomputed and pooled across texts and time in various ways. See\nArdia et al. (2021) <doi:10.18637/jss.v099.i02>.",
  "License": "GPL (>= 2)",
  "BugReports": "https://github.com/SentometricsResearch/sentometrics/issues",
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    "as.sento_corpus",
    "attributions",
    "compute_sentiment",
    "corpus_summarize",
    "ctr_agg",
    "ctr_model",
    "get_dates",
    "get_dimensions",
    "get_hows",
    "get_loss_data",
    "measures_fill",
    "measures_update",
    "nmeasures",
    "peakdates",
    "peakdocs",
    "sento_corpus",
    "sento_lexicons",
    "sento_measures",
    "sento_model",
    "weights_almon",
    "weights_beta",
    "weights_exponential"
  ],
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    {
      "name": "epu",
      "title": "Monthly U.S. Economic Policy Uncertainty index",
      "object": "epu",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "index",
        "above",
        "aboveMulti"
      ],
      "rows": 403,
      "table": true,
      "tojson": true
    },
    {
      "name": "list_lexicons",
      "title": "Built-in lexicons",
      "object": "list_lexicons",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "list_valence_shifters",
      "title": "Built-in valence word lists",
      "object": "list_valence_shifters",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "usnews",
      "title": "Texts (not) relevant to the U.S. economy",
      "object": "usnews",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "date",
        "texts",
        "wsj",
        "wapo",
        "economy",
        "noneconomy"
      ],
      "rows": 4145,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "sentometrics-package",
      "title": "sentometrics: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction",
      "topics": [
        "sentometrics-package",
        "sentometrics"
      ]
    },
    {
      "page": "add_features",
      "title": "Add feature columns to a (sento_)corpus object",
      "topics": [
        "add_features"
      ]
    },
    {
      "page": "aggregate.sentiment",
      "title": "Aggregate textual sentiment across sentences, documents and time",
      "topics": [
        "aggregate.sentiment"
      ]
    },
    {
      "page": "aggregate.sento_measures",
      "title": "Aggregate sentiment measures",
      "topics": [
        "aggregate.sento_measures"
      ]
    },
    {
      "page": "as.data.table.sento_measures",
      "title": "Get the sentiment measures",
      "topics": [
        "as.data.table.sento_measures"
      ]
    },
    {
      "page": "as.sentiment",
      "title": "Convert a sentiment table to a sentiment object",
      "topics": [
        "as.sentiment"
      ]
    },
    {
      "page": "as.sento_corpus",
      "title": "Convert a quanteda or tm corpus object into a sento_corpus object",
      "topics": [
        "as.sento_corpus"
      ]
    },
    {
      "page": "attributions",
      "title": "Retrieve top-down model sentiment attributions",
      "topics": [
        "attributions"
      ]
    },
    {
      "page": "compute_sentiment",
      "title": "Compute textual sentiment across features and lexicons",
      "topics": [
        "compute_sentiment"
      ]
    },
    {
      "page": "corpus_summarize",
      "title": "Summarize the sento_corpus object",
      "topics": [
        "corpus_summarize"
      ]
    },
    {
      "page": "ctr_agg",
      "title": "Set up control for aggregation into sentiment measures",
      "topics": [
        "ctr_agg"
      ]
    },
    {
      "page": "ctr_model",
      "title": "Set up control for sentiment-based sparse regression modeling",
      "topics": [
        "ctr_model"
      ]
    },
    {
      "page": "diff.sento_measures",
      "title": "Differencing of sentiment measures",
      "topics": [
        "diff.sento_measures"
      ]
    },
    {
      "page": "epu",
      "title": "Monthly U.S. Economic Policy Uncertainty index",
      "topics": [
        "epu"
      ]
    },
    {
      "page": "get_dates",
      "title": "Get the dates of the sentiment measures/time series",
      "topics": [
        "get_dates"
      ]
    },
    {
      "page": "get_dimensions",
      "title": "Get the dimensions of the sentiment measures",
      "topics": [
        "get_dimensions"
      ]
    },
    {
      "page": "get_hows",
      "title": "Options supported to perform aggregation into sentiment measures",
      "topics": [
        "get_hows"
      ]
    },
    {
      "page": "get_loss_data",
      "title": "Retrieve loss data from a selection of models",
      "topics": [
        "get_loss_data"
      ]
    },
    {
      "page": "list_lexicons",
      "title": "Built-in lexicons",
      "topics": [
        "list_lexicons"
      ]
    },
    {
      "page": "list_valence_shifters",
      "title": "Built-in valence word lists",
      "topics": [
        "list_valence_shifters"
      ]
    },
    {
      "page": "measures_fill",
      "title": "Add and fill missing dates to sentiment measures",
      "topics": [
        "measures_fill"
      ]
    },
    {
      "page": "measures_update",
      "title": "Update sentiment measures",
      "topics": [
        "measures_update"
      ]
    },
    {
      "page": "merge.sentiment",
      "title": "Merge sentiment objects horizontally and/or vertically",
      "topics": [
        "merge.sentiment"
      ]
    },
    {
      "page": "nmeasures",
      "title": "Get number of sentiment measures",
      "topics": [
        "nmeasures"
      ]
    },
    {
      "page": "nobs.sento_measures",
      "title": "Get number of observations in the sentiment measures",
      "topics": [
        "nobs.sento_measures"
      ]
    },
    {
      "page": "peakdates",
      "title": "Extract dates related to sentiment time series peaks",
      "topics": [
        "peakdates"
      ]
    },
    {
      "page": "peakdocs",
      "title": "Extract documents related to sentiment peaks",
      "topics": [
        "peakdocs"
      ]
    },
    {
      "page": "plot.attributions",
      "title": "Plot prediction attributions at specified level",
      "topics": [
        "plot.attributions"
      ]
    },
    {
      "page": "plot.sento_measures",
      "title": "Plot sentiment measures",
      "topics": [
        "plot.sento_measures"
      ]
    },
    {
      "page": "plot.sento_modelIter",
      "title": "Plot iterative predictions versus realized values",
      "topics": [
        "plot.sento_modelIter"
      ]
    },
    {
      "page": "predict.sento_model",
      "title": "Make predictions from a sento_model object",
      "topics": [
        "predict.sento_model"
      ]
    },
    {
      "page": "scale.sento_measures",
      "title": "Scaling and centering of sentiment measures",
      "topics": [
        "scale.sento_measures"
      ]
    },
    {
      "page": "sento_corpus",
      "title": "Create a sento_corpus object",
      "topics": [
        "sento_corpus"
      ]
    },
    {
      "page": "sento_lexicons",
      "title": "Set up lexicons (and valence word list) for use in sentiment analysis",
      "topics": [
        "sento_lexicons"
      ]
    },
    {
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      "title": "One-way road towards a sento_measures object",
      "topics": [
        "sento_measures"
      ]
    },
    {
      "page": "sento_model",
      "title": "Optimized and automated sentiment-based sparse regression",
      "topics": [
        "sento_model"
      ]
    },
    {
      "page": "subset.sento_measures",
      "title": "Subset sentiment measures",
      "topics": [
        "subset.sento_measures"
      ]
    },
    {
      "page": "usnews",
      "title": "Texts (not) relevant to the U.S. economy",
      "topics": [
        "usnews"
      ]
    },
    {
      "page": "weights_almon",
      "title": "Compute Almon polynomials",
      "topics": [
        "weights_almon"
      ]
    },
    {
      "page": "weights_beta",
      "title": "Compute Beta weighting curves",
      "topics": [
        "weights_beta"
      ]
    },
    {
      "page": "weights_exponential",
      "title": "Compute exponential weighting curves",
      "topics": [
        "weights_exponential"
      ]
    }
  ],
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