首页> 外文会议>World Conference on Information Systems and Technologies >An Architecture for Opinion Mining on Journalistic Comments: Case of the Senegalese Online Press
【24h】

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

机译:关于新闻评论的意见挖掘建筑:塞内加尔在线新闻的案例

获取原文

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.
机译:塞内加尔在线新闻界的评论可以为我国的社会经济和政治行动者创造重要的机会。 这些是潜在的数据和有用的信息来源。 但是,这些数据集的复杂性不再允许当前的意见挖掘方法来利用这种类型的评论。 这种复杂性是由含糊不清的句子,外观的评论和从国家语言借来的术语造成的。 为避免不反映塞内加尔读者的集体意见的风险,我们有兴趣仅为算入新闻评论的目的提出架构。 该架构将突出新的解决方案来解决这些问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号