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NEWS
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NEWS
====
Versioning
----------
Releases will be numbered with the following semantic versioning format:
<major>.<minor>.<patch>
And constructed with the following guidelines:
* Breaking backward compatibility bumps the major (and resets the minor
and patch)
* New additions without breaking backward compatibility bumps the minor
(and resets the patch)
* Bug fixes and misc changes bumps the patch
lexicon 1.3.0 -
----------------------------------------------------------------
BUG FIXES
* `freq_first_names` cantained a missing (`NA`) value that has been removed.
Spotted thanks to Martin Cadek; see issue #34.
NEW FEATURES
MINOR FEATURES
IMPROVEMENTS
CHANGES
lexicon 1.2.0 - 1.2.1
----------------------------------------------------------------
BUG FIXES
* `hash_emoticons` had '3' as 'laughing' when it should have been '=3'. This
has been corrected.
NEW FEATURES
* `cliches` added for comparison of common cliche phrases.
MINOR FEATURES
* `hash_nrc_emotion` added as a token to emotion lookup table.
CHANGES
* `profanity_zac_anger` contained 2 regexes marked as UTF-8 strings. These were
dropped.
* `key_corporate_social_responsibility` contained 5 regexes & 5 tokens marked as
Latin-1 strings. These were pretty apostrophes that were converted to ASCII
apostrophes.
lexicon 1.0.1 - 1.1.3
----------------------------------------------------------------
BUG FIXES
* `hash_lemmas` had the lemma of `as` to be `a`. This was incorrect (spotted by
Jonathan Bratt).
* `hash_lemmas` had Spaces before 2 tokens (" furtherst", " skilled") meaning.
This extra white space has been stripped.
* The `hash_sentiment_senticnett` dictionary contained "sparsely" which is also
contained in `hash_valence_shifters`. This term has been dropped from the
`hash_sentiment_senticnett` dictionary. See # 12 for more info.
NEW FEATURES
* `profanity_zac_anger` added to provide a longer list of profane words.
* `profanity_racist` added to provide a profane list that is specific for
detecting racist terms.
* `key_regressive_imagery` added to provide R users with access to Colin
Martindale's (1975, 1990) English Regressive Imagery Dictionary (RID). The
Regressive Imagery Dictionary (RID) is a text analysis coding taxonomy that
can be used to measure the degree to which a text is *primordial* vs.
*conceptual*.
* `key_corporate_social_responsibility` added to provide R users with access to
Pencle & Mălăescu's Corporate Social Responsibility (CSR) Dictionary.
MINOR FEATURES
* `available_data` picks up a `regex` argument to search for specific substrings
and return matching rows.
IMPROVEMENTS
* `hash_sentiment_jockers_rinker` now contains the word 'fuckin'. Additionally,
the word 'fucking' has a milder negative value because this word, though often
used as a negator, is also used as a amplifier. By reducing it's weight it
allows more positive words to have more pull but if no polarized words exist
'fucking' will still keep the typical negative direction of the clause.