Changes in version 1.0.1 (2025-04-03)                  

  - Fixed NOTEs about Rd files with link targets missing package anchors
    as per CRAN's request.

                 Changes in version 1.0.0 (2021-08-18)                  

  - Version bump associated with publication of vignette in the Journal
    of Statistical Software.

                 Changes in version 0.8.4 (2021-04-19)                  

  - Alignment with released quanteda v3.0.

                 Changes in version 0.8.3 (2021-02-17)                  

  - Features (or docvars) with names "id", "sentence_id", "date",
    "word_count" or "texts" will not be accepted even when numeric, to
    avoid duplicate column names down the line. A clear error message is
    issued to alert users.
  - Replacement of order() calls on data.frames where needed to avoid
    CRAN complaints.
  - Some small documentation fixes.

                 Changes in version 0.8.2 (2020-06-25)                  

  - Some documentation fixes.
  - Release of a pkgdown website.
  - Fixed bug in sento_corpus() function that did not always order input
    correctly by date.
  - Fixed two minor bugs in summary.sento_measures(); the first one
    prevented printing of document-level weighting schemes, the second
    one did not remove NAs when averaging over correlations.
  - Small bug fix in yearly aggregation (it did not account for the fact
    that 1970-01-01 is considered day zero).
  - Dropped horizontal 0-line automatically added in the
    plot.sento_measures() function as it distorts graphs of time series
    with values far away from zero.
  - Stopped exporting all defunct functions to clean up namespace.
  - The function print.sento_corpus() now shows when corpus is
    multi-lingual.

                 Changes in version 0.8.1 (2020-03-11)                  

  - Alignment with released quanteda v2.0.

                 Changes in version 0.8.0 (2020-01-13)                  

  - New function: print.sento_corpus().
  - Package update followed by release of a substantial update of the
    vignette (see https://doi.org/10.2139/ssrn.3067734).
  - Changed some warning() calls to message() calls to be more kind to
    the user.
  - Altered internal code to comply with the corpus object from quanteda
    >= v2.0.
  - Dropped all "TF"-inspired weights for within-document aggregation
    except for "TFIDF", and made this option return the same sentiment
    scores as would when using the quanteda package (see the example on
    https://sentometrics-research.com/sentometrics/articles/examples/sentiment.html).

                 Changes in version 0.7.6 (2019-11-01)                  

  - Fixed memory allocation issue in the compute_sentiment() function.

                 Changes in version 0.7.5 (2019-10-30)                  

  - New functions: as.data.table.sento_corpus(),
    as.data.frame.sento_corpus(), and as.data.frame.sento_measures().
  - Embedded a small workaround in plot.attributions() to guaranty same
    plotting behaviour after update of ggplot2 package that gave buggy
    output for the geom_area() layer.
  - Integrated for overall consistency measures_global() into the
    aggregate.sento_measures() function, adding a do.global argument to
    enact it.
  - Slightly changed the clusters-based sentence-level sentiment
    computation (different weighting of adversative conjunctions).
  - Clarified the documentation for the peakdates() and peakdocs()
    functions.
  - Put the Shiny application made available in previous package update
    (i.e., the sento_app() function) in a separate sole-purpose package
    sentometrics.app (see https://github.com/sborms/sentometrics.app).
  - Moved the data.table package from Depends to Imports (see
    https://github.com/Rdatatable/data.table/issues/3076).
  - No change by reference of input sentiment objects in the
    merge.sentiment() function anymore, and modified the merging to give
    for instance a simple column binding of sentment methods when all
    else is equal.
  - Correct pass-through of default how argument in the
    compute_sentiment() function.
  - Added a few adversative conjunctions to all word lists in
    list_valence_shifters.
  - Added a do.normalize option to the weights_beta() and
    weights_exponential() functions.
  - Added a do.inverse option to the weights_exponential() function and
    associated do.inverseExp argument in the ctr_agg() function.
  - Modified some names of options for within-document or
    within-sentence aggregation (i.e., across tokens):
    "squareRootCounts" into "proportionalSquareRoot",
    "invertedExponential" into "inverseExponential", and
    "invertedUShaped" into "inverseUShaped".
  - Corrected the numerator (number of documents or sentences instead of
    token frequency) in all weighting schemes involving the inverse
    document frequency (IDF).
  - Aligned all formulas concerning the exponential weighting curves.
  - The compute_sentiment() function now also can do a sentence-level
    calculation using the bigrams valence shifting approach.
  - Fixed a small bug that did not allow to have different valence
    shifters lists for a multi-language sentiment calculation.

                 Changes in version 0.7.0 (2019-09-12)                  

  - New functions: measures_update(), subset.sento_measures(),
    as.sentiment(), as.sento_measures(), as.data.table.sentiment(),
    corpus_summarize(), sento_app(), and aggregate.sento_measures().
  - Defunct all deprecated functions as well as the functions replaced
    by the new functions (wiping the slate clean...).
  - Handled reverse dependency issue raised by quanteda developers
    regarding their new corpus object.
  - Renamed the class objects coming from any sento_xyz() function into
    the name of the function (e.g., the sento_measures() function now
    gives a sento_measures object instead of a sentomeasures object).
  - Fixed a small bug in the aggregate.sento_measures() (previously
    measures_merge()) function to take the mean instead of the sum in a
    particular case.
  - Added many more within- and across-document weighting schemes (see
    the get_hows() function for an overview).
  - Added the flexibility to do an explicit sentence-by-sentence
    sentiment computation (see do.sentence argument in the
    compute_sentiment() function).
  - Added the flexibility to create a multi-language sento_corpus object
    to do a multi-language sentiment computation (applying different
    lexicons to texts written in different languages).
  - Expanded the compute_sentiment() function to also take tm
    SimpleCorpus and VCorpus objects.
  - Added the tm and NLP packages to Suggests.

                 Changes in version 0.5.6 (2018-12-18)                  

  - New function: peakdates().
  - Modified the purpose of the peakdocs() function and added a
    peakdates() function to properly handle the entire functionality of
    extracting peaks.
  - A series of documentation fixes.

                 Changes in version 0.5.5 (2018-11-15)                  

  - New functions: sentiment_bind(), and to_sentiment().
  - Defined replacement (of lexicons and names) for a sentolexicons
    object.
  - Properly handled lag = 1 in the ctr_agg() function, and set weights
    to 1 by default for n = 1 in the weights_beta() function.
  - Solved single failing test for older R version (3.4.4).
  - Removed the abind package from Imports.
  - Removed the zoo package from Imports, by replacing the single
    occurrence of the zoo::na.locf() function by the fill_NAs() helper
    function (written in Rcpp).
  - Extended the quanteda::docvars() replacement method to a sentocorpus
    object.
  - Modified information criterion estimators for edge cases to avoid
    them turning negative.
  - Dropped the "x" output element from a sentomodel object (for large
    samples, this became too memory consuming).
  - Dropped the "howWithin" output element from a sentomeasures object,
    and simplified a sentiment object into a data.table directly instead
    of a list.
  - Expanded the do.shrinkage.x argument in the ctr_model() function to
    a vector argument.
  - Added a do.lags argument to the attributions() function, to be able
    to circumvent the most time-consuming part of the computation .
  - Imposed a check in the sento_measures() function on the uniqueness
    of the names within and across the lexicons, features and time
    weighting schemes.
  - Solved a bug in the measures_merge() function that made full merging
    not possible.
  - The n argument in the peakdocs() function can now also be specified
    as a quantile.

                 Changes in version 0.5.1 (2018-09-20)                  

  - Minor modifications to resolve few CRAN issues.
  - Set default value of nCore argument in the compute_sentiment() and
    ctr_agg() functions to 1.
  - Classed the output of the compute_sentiment.sentocorpus() function
    as a sentiment object, and modified the aggregate() function to
    aggregate.sentiment().

                        Changes in version 0.5.0                        

  - New functions: weights_beta(), get_dates(), get_dimensions(),
    get_measures(), and get_loss_data().
  - Renamed following functions: to_global() to measures_global(),
    perform_agg() to aggregate(), almons() to weights_almon(),
    exponentials() to weights_exponential(), setup_lexicons() to
    sento_lexicons(), retrieve_attributions() to attributions(),
    plot_attributions() to plot.attributions().
  - Defunct the ctr_merge() function, so that all merge parameters have
    to be passed on directly to the measures_merge() function.
  - Expanded the use of the center and scale arguments in the scale()
    function.
  - Added the dateBefore and dateAfter arguments to the measures_fill()
    function, and dropped NA option of its fill argument.
  - Added a "beta" time aggregation option (see associated
    weights_beta() function).
  - Corrected update of "attribWeights" element of output sentomeasures
    object in required measures_xyz() functions.
  - Added a new attribution dimension ("lags") to the attributions()
    function, and corrected some edge cases.
  - Made a slight correction to the information criterion estimators.
  - Added a lambdas argument to the ctr_model() function, directly
    passed on to the glmnet::glmnet() function if used.
  - Omitted do.combine argument in measures_delete() and
    measures_select() functions to simplify.
  - Expanded set of unit tests, included a coverage badge, and added
    covr to Suggests.
  - Reimplementation (and improved documentation) of the sentiment
    calculation in the compute_sentiment() function, by writing part of
    the code in Rcpp relying on RcppParallel (added to Imports); there
    are now three approaches to computing sentiment (unigrams, bigrams
    and clusters).
  - Replaced the dfm argument in the compute_sentiment() and ctr_agg()
    functions by a tokens. argument, and altered the input and behaviour
    of the nCore argument in these same two functions.
  - Switched from the quanteda package to the stringi package for more
    direct tokenization.
  - Trimmed the list_lexicons and list_valence_shifters built-in word
    lists by keeping only unigrams, and included same trimming procedure
    in the sento_lexicons() function.
  - Added a column type "t" to the list_valence_shifters built-in word
    list, and reset values of the "y" column from 2 to 1.8 and from 0.5
    to 0.2.
  - Updated the epu built-in dataset with the newest available series,
    up to July 2018.
  - Corrected the word 'sparesly' to 'sparsely' in
    list_valence_shifters[["en"]].
  - Further shortened project page to the bare essence.
  - Omitted statement printed ('Compute sentiment... Done.') in the
    compute_sentiment() function.
  - Slightly modified print() generic for a sentomeasures object.
  - Dropped the "tf-idf" option for within-document aggregation in the
    ctr_agg() function.
  - The sento_lexicons() function outputs a sentolexicons object, which
    the compute_sentiment(). function specifically requires as an input;
    a sentolexicons object also includes a "[" class-preserving
    extractor function.
  - The attributions() function outputs an attributions object; the
    plot_attribtutions() function is therefore replaced by the plot()
    generic.
  - Defunct the perform_MCS() function, but the output of the
    get_loss_data() function can easily be used as an input to the
    MCSprocedure() function from the MCS package (discarded from
    Imports).
  - Moved the parallel and doParallel packages to Suggests, as only
    needed (if enacted) in the sento_model() function.
  - Sligthly modified appearance of plotting functions, to drop ggthemes
    from Imports.

                        Changes in version 0.4.0                        

  - New functions: measures_delete(), nmeasures(), nobs(), and
    to_sentocorpus().
  - Renamed following functions: any xyz_measures() to measures_xyz(),
    extract_peakdocs() to peakdocs().
  - Dropped do.normalizeAlm argument in the ctr_agg() function (but kept
    in the almons() function).
  - Inverted order of rows in output of the almons() function to be
    consistent with Ardia et al. (IJF, 2019) paper.
  - Renamed lexicons to list_lexicons, and valence to
    list_valence_shifters.
  - The stats element of a sentomeasures object is now also updated in
    measures_fill().
  - Changed "_eng" to "_en"' in list_lexicons and list_valence_shifters
    objects, to be in accordance with two-letter ISO language naming.
  - Changed "valence_language" naming to "language" in
    list_valence_shifters object.
  - The compute_sentiment() function now also accepts a quanteda corpus
    object and a character vector.
  - The add_features() function now also accepts a quanteda corpus
    object.
  - Added an nCore argument to the compute_sentiment(), ctr_agg(), and
    ctr_model() functions to allow for (more straightforward)
    parallelized computations, and omitted the do.parallel argument in
    the ctr_model() function.
  - Added a do.difference argument to the ctr_model() function and
    expanded the use of the already existing oos argument.
  - Brought ggplot2 and foreach to Imports.

                 Changes in version 0.3.5 (2018-03-26)                  

  - Faster to_global().
  - Set tolower = FALSE of quanteda::dfm() constructor in
    compute_sentiment().
  - Changed intercept argument in ctr_model() to do.intercept for
    consistency.
  - Proper checks on values of feature columns in sento_corpus() and
    add_features().

                        Changes in version 0.3.0                        

  - New functions: diff(), extract_peakdocs(), and subset_measures().
  - Modified R Depends from 3.4.2 to 3.3.0, and omitted import of
    sentimentr.
  - Word count per document now determined based on a separate
    tokenization.
  - Improved valence shifters search (modified incluce_valence() helper
    function).
  - New option added for within-document aggregation
    ("proportionalPol").
  - Now correct pass-through of dfm argument in ctr_agg().
  - Simplified select_measures(), but toSelect argument expanded.
  - Calculation in to_global() changed (see vignette).
  - Improved add_features(): regex and non-binary (between 0 and 1)
    allowed.
  - All texts and lexicons now automatically to lowercase for sentiment
    calculation.
  - (Re)translation of built-in lexicons and valence word lists.
  - Small documentation clarifications and fixes.
  - New vignette and run_vignette.R script.
  - Shortened project page (no code example anymore).

                        Changes in version 0.2.0                        

  - First public release.

                        Changes in version 0.1.0                        

  - Google Summer of Code 2017 "release" (unstable).