Package: sentixr 0.2.0
sentixr: Lexicons and Tools for Italian Sentiment Analysis
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 & Nissim (2013), "Sentiment Analysis on Italian Tweets", <https://aclanthology.org/W13-1614/>; Vassallo et al. (2019), "The Tenuousness of Lemmatization in Lexicon-based Sentiment Analysis", <https://aclanthology.org/2019.clicit-1.79/>; Di Palma (2024), "ELIta: A New Italian Language Resource for Emotion Analysis", <https://aclanthology.org/2024.clicit-1.36/>.
Authors:
sentixr_0.2.0.tar.gz
sentixr_0.2.0.tar.gz(r-4.7-any)sentixr_0.2.0.tar.gz(r-4.6-any)
sentixr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sentixr/json (API)
| # Install 'sentixr' in R: |
| install.packages('sentixr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/valeriobasile/sentixr/issues
- elita_basic - ELIta: Basic Emotions
- elita_VAD - ELIta: VAD Dimensions
- MAL - MAL 3.1. Affective Lexicon
- recensioni_tv - Example text data for sentiment analysis
- sentix - Sentix 3.1. Affective Lexicon
Last updated from:cd9dd42453. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 173 | ||
| source / vignettes | OK | 279 | ||
| linux-release-x86_64 | OK | 190 | ||
| wasm-release | OK | 153 |
Exports:df_to_dictdf_to_polardf_to_valenceget_elitaget_sentixmake_polaritysentix_annotatesentix_summarize
Dependencies:clidata.tabledplyrgenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6Rcpprlangtibbletidyselectudpipeutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a data frame to a Quanteda dictionary with polarity or valence | df_to_dict |
| Convert a data frame to a Quanteda polarity dictionary | df_to_polar |
| Convert a data frame to a Quanteda valence dictionary | df_to_valence |
| ELIta: Basic Emotions | elita_basic |
| ELIta: VAD Dimensions (Valence, Arousal, Dominance) | elita_VAD |
| Get ELIta-family Lexicons | get_elita |
| Get Sentix-family Lexicons | get_sentix |
| Classify sentiment scores into polarity categories | make_polarity |
| MAL 3.1. Affective Lexicon | MAL |
| Example text data for sentiment analysis | recensioni_tv |
| Sentix 3.1. Affective Lexicon | sentix |
| Annotate text with sentiment scores | sentix_annotate |
| Summarize sentiment annotations | sentix_summarize |
