Detecting Hot Topics From Academic Big Data

Beibei Wang
Beibei Wang
Shuangshuang Shan
Shuangshuang Shan

IEEE Access, pp. 185916-185927, 2019.

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Abstract:

Detecting hot topics from massive academic data is a very challenging task. Because various types of academic information are overgrowing, e.g., papers, news, and blogs, which has gone far beyond the limits that researchers can accept. Therefore, how to efficiently and accurately detect hot topics from big academic data is the main proble...More

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