An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction

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Documentation for package ‘sentometrics’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

sentometrics-package	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 time
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 object
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
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 measures
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
sentometrics	sentometrics: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
sento_corpus	Create a sento_corpus object
sento_lexicons	Set up lexicons (and valence word list) for use in sentiment analysis
sento_measures	One-way road towards a sento_measures object
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