# An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction

## Documentation for package ‘sentometrics’ version 0.3.5

- DESCRIPTION file.

## Help Pages

sentometrics-package | An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
add_features | Add feature columns to a sentocorpus
almons | Compute Almon polynomials
compute_sentiment | Compute document-level sentiment across features and lexicons
ctr_agg | Set up control for aggregation into sentiment measures
ctr_merge | Set up control for merging sentiment measures
ctr_model | Set up control for sentiment measures-based regression modelling
diff.sentomeasures | Differencing of sentiment measures
epu | Monthly Economic Policy Uncertainty Index
exponentials | Compute exponential weighting curves
extract_peakdocs | Extract dates and documents related to sentiment peaks
fill_measures | Add and fill missing dates
get_hows | Options supported to perform aggregation into sentiment measures
lexicons | Built-in lexicons
merge_measures | Merge sentiment measures
perform_agg | Aggregate textual sentiment across documents and time
perform_MCS | Apply model confidence set (MCS) procedure to a selection of models
plot.sentomeasures | Plot sentiment measures
plot.sentomodeliter | Plot iterative predictions versus realized values
plot_attributions | Plot prediction attributions at specified level
predict.sentomodel | Make predictions from a sentomodel object
retrieve_attributions | Retrieve top-down sentiment attributions given model object
scale.sentomeasures | Scaling and centering of sentiment measures
select_measures | Select sentiment measures
sentometrics | An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
sento_corpus | Create a sentocorpus object
sento_measures | One-way road towards a sentomeasures object
sento_model | Optimized and automated sparse regression
setup_lexicons | Set up lexicons (and valence word list) for use in sentiment analysis
subset_measures | Subset sentiment measures
to_global | Merge sentiment measures into multiple weighted global sentiment indices
usnews | Texts (not) relevant to the U.S. economy
valence | Built-in valence word lists