Text Analytics in Social Media
作者： Xia Hu , Huan Liu
DOI: 10.1007/978-1-4614-3223-4_12
关键词: Computer science 、 Noisy text analytics 、 Social media 、 Text graph 、 Data science 、 Semantic analytics 、 Analytics 、 Representation (arts) 、 Information needs 、 Text mining
摘要: The rapid growth of online social media in the form collaborativelycreated content presents new opportunities and challenges to both producers consumers information. With large amount data produced by various services, text analytics provides an effective way meet usres’ diverse information needs. In this chapter, we first introduce background traditional distinct aspects textual media. We next discuss research progress applying from different perspectives, show how improve existing approaches representation media, using real-world examples.
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