Morphological Relations for the Automatic Expansion of Italian Sentiment Lexicons

Author:

Pelosi Serena

Publisher

Springer International Publishing

Reference39 articles.

1. Maisto, A., Pelosi, S.: A lexicon-based approach to sentiment analysis. The Italian module for Nooj. In: Book of Proceedings of the International Nooj 2014 Conference, 3–5 June, University of Sassari, Italy (2014)

2. Pelosi, S.: SentIta and Doxa: italian databases and tools for sentiment analysis purposes. In: Book of Proceedings of the second Italian Conference on Computational Linguistics (CLiC-it 2015), Trento, 3–4 December 2015

3. Neviarouskaya, A.: Compositional Approach for Automatic Recognition of Fine-Grained Affect, Judgment, and Appreciation in Text. Doctoral Dissertation, University of Tokyo (2010)

4. Pelosi, S., Elia, A., Maisto, A., Guarasci, R.: Towards a lexicon-grammar based framework for NLP: an opinion mining application. In: Book of Proceedings of Recent Advances in Natural Language Processing 2015, RANLP 2015, Hissar, Bulgaria, 5–11 September. Incoma Ltd., Shoumen (2015). ISSN 1313-8502

5. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267–307 (2011)

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