sentometrics1.0.0 package

Add feature columns to a (sento_)corpus object

Aggregate textual sentiment across sentences, documents and time

Aggregate sentiment measures

Get the sentiment measures

Convert a sentiment table to a sentiment object

Convert a quanteda or tm corpus object into a sento_corpus object

Retrieve top-down model sentiment attributions

Compute textual sentiment across features and lexicons

Summarize the sento_corpus object

Set up control for aggregation into sentiment measures

Set up control for sentiment-based sparse regression modeling

Datasets with defunct names

Differencing of sentiment measures

Get the dates of the sentiment measures/time series

Get the dimensions of the sentiment measures

Options supported to perform aggregation into sentiment measures

Retrieve loss data from a selection of models

Add and fill missing dates to sentiment measures

Update sentiment measures

Merge sentiment objects horizontally and/or vertically

Get number of sentiment measures

Get number of observations in the sentiment measures

Extract dates related to sentiment time series peaks

Extract documents related to sentiment peaks

Plot prediction attributions at specified level

Plot sentiment measures

Plot iterative predictions versus realized values

Make predictions from a sento_model object

Scaling and centering of sentiment measures

Create a sento_corpus object

Set up lexicons (and valence word list) for use in sentiment analysis

One-way road towards a sento_measures object

Optimized and automated sentiment-based sparse regression

Defunct functions

Deprecated functions

sentometrics: An Integrated Framework for Textual Sentiment Time Serie...

Subset sentiment measures

Compute Almon polynomials

Compute Beta weighting curves

Compute exponential weighting curves