Man pages for SentometricsResearch/sentometrics
An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
| add_features | Add feature columns to a (sento_)corpus object |
| aggregate.sentiment | Aggregate textual sentiment across sentences, documents and... |
| aggregate.sento_measures | Aggregate sentiment measures |
| as.data.table.sento_measures | Get the sentiment measures |
| as.sentiment | Convert a sentiment table to a sentiment object |
| as.sento_corpus | Convert a quanteda or tm corpus object into a sento_corpus... |
| attributions | Retrieve top-down model sentiment attributions |
| compute_sentiment | Compute textual sentiment across features and lexicons |
| corpus_summarize | Summarize the sento_corpus object |
| ctr_agg | Set up control for aggregation into sentiment measures |
| ctr_model | Set up control for sentiment-based sparse regression modeling |
| data-defunct | Datasets with defunct names |
| diff.sento_measures | Differencing of sentiment measures |
| epu | Monthly U.S. Economic Policy Uncertainty index |
| get_dates | Get the dates of the sentiment measures/time series |
| get_dimensions | Get the dimensions of the sentiment measures |
| get_hows | Options supported to perform aggregation into sentiment... |
| get_loss_data | Retrieve loss data from a selection of models |
| list_lexicons | Built-in lexicons |
| list_valence_shifters | Built-in valence word lists |
| measures_fill | Add and fill missing dates to sentiment measures |
| measures_update | Update sentiment measures |
| merge.sentiment | Merge sentiment objects horizontally and/or vertically |
| nmeasures | Get number of sentiment measures |
| nobs.sento_measures | Get number of observations in the sentiment measures |
| peakdates | Extract dates related to sentiment time series peaks |
| peakdocs | Extract documents related to sentiment peaks |
| plot.attributions | Plot prediction attributions at specified level |
| plot.sento_measures | Plot sentiment measures |
| plot.sento_modelIter | Plot iterative predictions versus realized values |
| predict.sento_model | Make predictions from a sento_model object |
| scale.sento_measures | Scaling and centering of sentiment measures |
| sento_corpus | Create a sento_corpus object |
| sento_lexicons | Set up lexicons (and valence word list) for use in sentiment... |
| sento_measures | One-way road towards a sento_measures object |
| sentometrics-defunct | Defunct functions |
| sentometrics-deprecated | Deprecated functions |
| sentometrics-package | sentometrics: An Integrated Framework for Textual Sentiment... |
| sento_model | Optimized and automated sentiment-based sparse regression |
| subset.sento_measures | Subset sentiment measures |
| usnews | Texts (not) relevant to the U.S. economy |
| weights_almon | Compute Almon polynomials |
| weights_beta | Compute Beta weighting curves |
| weights_exponential | Compute exponential weighting curves |
