کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392718 665154 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient Particle Swarm Optimization approach to cluster short texts
ترجمه فارسی عنوان
یک رویکرد بهینه سازی ذرات موثر برای خواندن متن کوتاه
کلمات کلیدی
خوشه بندی متن کوتاه متن بهینه سازی ذرات ذرات
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Short texts such as evaluations of commercial products, news, FAQ’s and scientific abstracts are important resources on the Web due to the constant requirements of people to use this on line information in real life. In this context, the clustering of short texts is a significant analysis task and a discrete Particle Swarm Optimization (PSO) algorithm named CLUDIPSO has recently shown a promising performance in this type of problems. CLUDIPSO obtained high quality results with small corpora although, with larger corpora, a significant deterioration of performance was observed. This article presents CLUDIPSO★, an improved version of CLUDIPSO, which includes a different representation of particles, a more efficient evaluation of the function to be optimized and some modifications in the mutation operator. Experimental results with corpora containing scientific abstracts, news and short legal documents obtained from the Web, show that CLUDIPSO★ is an effective clustering method for short-text corpora of small and medium size.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 265, 1 May 2014, Pages 36–49
نویسندگان
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