کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10338331 693565 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A framework for real-time Twitter data analysis
ترجمه فارسی عنوان
یک چارچوب برای تجزیه و تحلیل داده های توییتر در زمان واقعی
کلمات کلیدی
سنجش اجتماعی، تجزیه و تحلیل توییتر، تشخیص موضوع،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Twitter is a popular social network which allows millions of users to share their opinions on what happens all over the world. In this work we present a system for real-time Twitter data analysis in order to follow popular events from the user's perspective. The method we propose extends and improves the Soft Frequent Pattern Mining (SFPM) algorithm by overcoming its limitations in dealing with dynamic, real-time, detection scenarios. In particular, in order to obtain timely results, the stream of tweets is organized in dynamic windows whose size depends both on the volume of tweets and time. Since we aim to highlight the user's point of view, the set of keywords used to query Twitter is progressively refined to include new relevant terms which reflect the emergence of new subtopics or new trends in the main topic. The real-time detection system has been evaluated during the 2014 FIFA World Cup and experimental results show the effectiveness of our solution.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Communications - Volume 73, Part B, 1 January 2016, Pages 236-242
نویسندگان
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