An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool

Luigi Lomasto, Rosario Di Florio, Andrea Ciapetti, Giuseppe Miscione, Giulia Ruggiero, Daniele Toti. An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool. In Joaquim Filipe, Michal Smialek, Alexander Brodsky 0001, Slimane Hammoudi, editors, Enterprise Information Systems - 21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Revised Selected Papers. Volume 378 of Lecture Notes in Business Information Processing, pages 57-77, Springer, 2019. [doi]

@inproceedings{LomastoFCMRT19,
  title = {An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool},
  author = {Luigi Lomasto and Rosario Di Florio and Andrea Ciapetti and Giuseppe Miscione and Giulia Ruggiero and Daniele Toti},
  year = {2019},
  doi = {10.1007/978-3-030-40783-4_4},
  url = {https://doi.org/10.1007/978-3-030-40783-4_4},
  researchr = {https://researchr.org/publication/LomastoFCMRT19},
  cites = {0},
  citedby = {0},
  pages = {57-77},
  booktitle = {Enterprise Information Systems - 21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3-5, 2019, Revised Selected Papers},
  editor = {Joaquim Filipe and Michal Smialek and Alexander Brodsky 0001 and Slimane Hammoudi},
  volume = {378},
  series = {Lecture Notes in Business Information Processing},
  publisher = {Springer},
  isbn = {978-3-030-40783-4},
}