SINAI/SA-Corpus

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The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at a870a7c
Licence files: No licence file at the top level of the repositoryEvidence: file list at a870a7c
Declared sources: None listed in the card metadata
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Citation text from the card

@article{RUSHDISALEH201114799,
title = {Experiments with SVM to classify opinions in different domains},
journal = {Expert Systems with Applications},
volume = {38},
number = {12},
pages = {14799-14804},
year = {2011},
issn = {0957-4174},
doi = {https://doi.org/10.1016/j.eswa.2011.05.070},
url = {https://www.sciencedirect.com/science/article/pii/S0957417411008542},
author = {M. {Rushdi Saleh} and M.T. Martín-Valdivia and A. Montejo-Ráez and L.A. Ureña-López},
keywords = {Opinion mining, Machine learning, SVM, Corpora},
abstract = {Recently, opinion mining is receiving more attention due to the abundance of forums, blogs, e-commerce web sites, news reports and additional web sources where people tend to express their opinions. Opinion mining is the task of identifying whether the opinion expressed in a document is positive or negative about a given topic. In this paper we explore this new research area applying Support Vector Machines (SVM) for testing different domains of data sets and using several weighting schemes. We have accomplished experiments with different features on three corpora. Two of them have already been used in several works. The last one has been built from Amazon.com specifically for this paper in order to prove the feasibility of the SVM for different domains.}
}

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dataset_licence({ "id": "SINAI/SA-Corpus" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0