首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Abstract information extraction from consumer's comments on internet media
  • 其他标题:İnternet ortamındaki tüketici yorumlarından özet bilgi çıkarımı
  • 本地全文:下载
  • 作者:Kadriye Ergün ; Cemalettin Kubat ; Gültekin Çağıl
  • 期刊名称:Sakarya University Journal of Science
  • 印刷版ISSN:1301-4048
  • 电子版ISSN:2147-835X
  • 出版年度:2013
  • 卷号:17
  • 期号:1
  • 语种:English
  • 出版社:Sakarya University
  • 摘要:In this study, a system developed to summarize by automatically evaluating comments about product with using text mining techniques will be described. The data has been primarily went through morphological analysis process, because they are texts written in natural language. Words and adjectives meaning positive or negative are determined. They show product features in texts. The tree structure is established according to Turkish grammar rules as subordinate and modified words are designated. The software which uses the depth-first search algorithm on the tree structure is developed. Data from result of software is stored in the SQL database. When any inquiry is made from these data depending on any property of product, numerical information which indicates the degree of satisfaction about this property is obtained.
  • 其他摘要:Bu çalışmada, metin madenciliği tekniklerinden yararlanılarak bir ürün hakkındaki yorumları otomatik olarak değerlendirip özetlemek için geliştirilmiş bir sistem tanıtılmıştır. İncelenen veriler doğal dilde yazılmış metinler olduğundan öncelikle morfoloji
  • 关键词:Text Mining;Information Extraction;Natural Language Processing
  • 其他关键词:Metin madenciliği;Bilgi çıkarımı;Doğal dil işleme
国家哲学社会科学文献中心版权所有