SM-FEEL-BG - the First Bulgarian Datasets and Classifiers for Detecting Feelings, Emotions, and Sentiments of Bulgarian Social Media Text.
Irina TemnikovaIva MarinovaSilvia GargovaRuslana MargovaAlexander KomarovTsvetelina StefanovaVeneta KirevaDimana VyatrovaNevena GrigorovaYordan MandevskiStefan MinkovPublished in: LREC/COLING (2024)
Keyphrases
- social media
- language independent
- user comments
- social media data
- social context
- test collection
- language resources
- text retrieval
- cross language
- user generated content
- decision trees
- text data
- accurate classifiers
- information retrieval
- lexical features
- big data
- social networks
- training data
- associative classifiers
- data sets
- social media content
- text mining
- feature selection
- benchmark datasets
- positive or negative
- database
- text classifiers
- information extraction
- polarity classification
- sentiment analysis
- document retrieval
- machine learning algorithms
- feature selection algorithms
- machine translation
- naive bayes
- document collections
- training samples
- text classification