Now showing items 1-2 of 2

    • A comparison of emotion annotation schemes and a new annotated data set 

      Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (European Languages Resources Association (ELRA), 2018-05-07)
      While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of more nuanced affect has received less attention, and ...
    • NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity 

      Andryushechkin, Vladimir; Wood, Ian D.; O'Neill, James (Association for Computational Linguistics, 2017-09-08)
      This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...