Sentiment Analysis for Government: An Optimized Approach

Angelo Corallo, Laura Fortunato, Marco Matera, Marco Alessi, Alessio Camillo, Valentina Chetta, Enza Giangreco, Davide Storelli. Sentiment Analysis for Government: An Optimized Approach. In Petra Perner, editor, Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings. Volume 9166 of Lecture Notes in Computer Science, pages 98-112, Springer, 2015. [doi]

@inproceedings{CoralloFMACCGS15,
  title = {Sentiment Analysis for Government: An Optimized Approach},
  author = {Angelo Corallo and Laura Fortunato and Marco Matera and Marco Alessi and Alessio Camillo and Valentina Chetta and Enza Giangreco and Davide Storelli},
  year = {2015},
  doi = {10.1007/978-3-319-21024-7_7},
  url = {http://dx.doi.org/10.1007/978-3-319-21024-7_7},
  researchr = {https://researchr.org/publication/CoralloFMACCGS15},
  cites = {0},
  citedby = {0},
  pages = {98-112},
  booktitle = {Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings},
  editor = {Petra Perner},
  volume = {9166},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-21023-0},
}