کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946380 1439283 2017 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ant colony heuristic for user-contributed comments summarization
ترجمه فارسی عنوان
کلمهای مورچه برای بررسی خلاصه ای از نظرات کاربران ارائه شده است
کلمات کلیدی
خلاصه ای از نظرات، رسانه های اجتماعی، هوشافزاری بهینه سازی کلینیک مورچه، استخراج متن،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
User-contributed comments (UCC) are one of the signs of the social media. Due to the high popularity of social media, it becomes already exceedingly difficult to find the most relevant, interactive information for the users. The motivation behind this work is the fact that users may interest to get an efficacious brief understanding of comments without reading the entire comments. This paper opens up an unconventional field of comment's summarization predicated on Ant colony optimization mixed with Jensen-Shannon divergence (ACO-JSD). ACO-JSD is a proposed novel technique concerning the extraction the most interactive comments from the huge amount of concise comment's perspectives. This problem is unfastened utilizing ACO to generate the optimal solution. Moreover, the JSD model is employed to ensure a summary could capture the essence of the original comments. First, an acyclic semi-graph has been constructed under two constraints: (1) the longest comments will be isolated from the graph, (2) The more similarity between two comments, the greater the chance that mutual connectivity is eliminated. Next, a feasible solution is constructed to select the high-quality summarization. Finally, the proposed algorithm has been evaluated over a collection of Facebook posts with their associated comments and an excellent performance in comparison with traditional document summarization algorithms was obtained. Accordingly, the computational results show the efficiency of the proposed algorithm, as well as its ability to find a good summary that is guaranteed to be near-optimal.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 118, 15 February 2017, Pages 105-114
نویسندگان
, , ,