<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Lexicons and Tools for Italian Sentiment Analysis</dc:title>
  <dc:title>R package sentixr version 0.2.0</dc:title>
  <dc:description>Lexicons and tools to perform sentiment analysis on Italian texts. Lexicons included: Sentix 3.0, MAL, ElIta VAD and basic emotions (Plutchik's wheel of emotions). For more details about the lexicons, see Basile &amp; Nissim (2013), "Sentiment Analysis on Italian Tweets", &lt;https://aclanthology.org/W13-1614/&gt;; Vassallo et al. (2019), "The Tenuousness of Lemmatization in Lexicon-based Sentiment Analysis", &lt;https://aclanthology.org/2019.clicit-1.79/&gt;; Di Palma (2024), "ELIta: A New Italian Language Resource for Emotion Analysis", &lt;https://aclanthology.org/2024.clicit-1.36/&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1), dplyr, tidyselect, rlang</dc:relation>
  <dc:relation>Imports: udpipe</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, tidytext, spacyr, readtext, tibble,
testthat (&gt;= 3.0.0), remotes, quanteda, mockery</dc:relation>
  <dc:creator>Agnese Vardanega &lt;avardanega@unite.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Agnese Vardanega [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-1419-9896&gt;),
  Valerio Basile [aut] (ORCID: &lt;https://orcid.org/0000-0001-8110-6832&gt;),
  Eliana Di Palma [aut] (ORCID: &lt;https://orcid.org/0000-0003-2154-2696&gt;),
  Giuliano Gabrieli [aut] (ORCID:
    &lt;https://orcid.org/0009-0005-1153-5662&gt;),
  Marco Vassallo [aut] (ORCID: &lt;https://orcid.org/0000-0001-7016-6549&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-06-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sentixr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sentixr</dc:identifier>
  <dc:language>en, it</dc:language>
</oai_dc:dc>
