Data Analytics for Social Microblogging Platforms

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

《社交微博平台的資料分析》探討微博數據集的特性，同時也涵蓋了自然語言處理背景下的信息、數據和知識等更廣泛領域。本書研究了一系列重要的計算技術，使得數據和計算科學家能夠識別這些龐大數據集中的模式，包括機器學習、數據挖掘算法、粗糙集和模糊集理論、演化計算、組合模式匹配、聚類、摘要和分類等。各章節聚焦於基本的在線微博數據分析研究方法、社區檢測、摘要應用開發、性能評估以及它們在大數據中的應用。