• A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
    • Automatic Irony Detection using Feature Fusion and Ensemble Classifier 

      Harish, B S; Kumar, Keerthi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...
    • Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method 

      Harish, B S; Kumar, Keerthi; Darshan, H K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...
    • Voice Analysis Using PRAAT Software and Classification of User Emotional State 

      Magdin, Martin; Sulka, T; Tomanová, J; Vozár, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      During the last decades the field of IT has seen an incredible and very rapid development. This development has shown that it is important not only to shift performance and functional boundaries but also to adapt the way ...