An Architecture for Opinion Mining on Journalistic Comments: Case of the Senegalese Online Press

被引:0
|
作者
Faty, Lamine [1 ]
Ndiaye, Marie [1 ]
Drame, Khadim [1 ]
Diop, Ibrahima [1 ]
Diedhiou, Alassane [1 ]
Sall, Ousmane [2 ]
机构
[1] Univ Assane SECK Ziguinchor, Ecole Doctorale ED STI, Ziguinchor, Senegal
[2] Univ Thies, Ecole Doctorale Dev Durable & Soc ED2DS, Thies, Senegal
关键词
Online presses; Comments complexity; Opinion mining; Architecture;
D O I
10.1007/978-3-030-45688-7_41
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Comments from the Senegalese online press can create important opportunities for the socio-economic and political actors of our country. These are potentially promising data and useful sources of information. However, the complexity of these data sets no longer allows current methods of opinion mining to exploit this type of comments. This complexity is caused by ambiguous sentences, out-of-context comments and the use of terms borrowed from national languages. To avoid the risk of not reflecting the collective opinion of Senegalese readers, we are interested in proposing an architecture solely for the purpose of valorizing journalistic comments. The architecture will highlight a new solution to solving these types of problems.
引用
收藏
页码:395 / 403
页数:9
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