@article{755641,
      author = {Biagioni, Raoul,},
      url = {http://library.usi.edu/record/755641},
      title = {The senticnet sentiment lexicon exploring semantic  richness in multi-word concepts / [electronic resource] :},
      abstract = {The research and its outcomes presented in this book, is  about lexicon-based sentiment analysis. It uses single-,  and multi-word concepts from the SenticNet sentiment  lexicon as the source of sentiment information for the  purpose of sentiment classification. In 6 chapters the book  sheds light on the comparison of sentiment classification  accuracy between single-word and multi-word concepts, for  which a bespoke sentiment analysis system developed by the  author was used. This book will be of interest to students,  educators and researchers in the field of Sentic  Computing.},
      recid = {755641},
      pages = {1 online resource (vi, 55 pages) :},
}