SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods-Reference-Cited by-同舟云学术

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

Published:2016-07-07 Issue:1 Volume:5 Page:
ISSN:2193-1127
Container-title:EPJ Data Science
language:en
Short-container-title:EPJ Data Sci.

Author:

Ribeiro Filipe N,Araújo Matheus,Gonçalves Pollyanna,André Gonçalves Marcos,Benevenuto Fabrício

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (BR)

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1140/epjds/s13688-016-0085-1.pdf

Reference74 articles.

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3. Lecture notes in computer science;N Oliveira,2013

4. Bollen J, Mao H, Zeng X-J (2010) Twitter mood predicts the stock market. arXiv:1010.3003

5. Tumasjan A, Sprenger TO, Sandner PG, Welpe IM (2010) Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: 4th international AAAI conference on weblogs and social media (ICWSM)

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