基于特征学习的文本大数据内容理解及其发展趋势

doi:10.11959/j.issn.2096-0271.2015030

Abstract

Abstract:

Big data contains important value information.Text big data as an important part of big data is the main carrier of human knowledge.Feature represents the inherent law of the data.Mapping the text big data to its feature space which reflects the nature of data is an important method to understand the semantic meaning of the text.Text big data feature representations and feature learning were reviewed.Then the progress of feature learning used in text content understanding was presented.Finally,the future development trends of big text data content understanding were discussed.

Key words: text big data, feature learning, content understanding

CLC Number:

TP391.1

Shuhan Yuan, Yang Xiang, Shijia E. Text Big Data Content Understanding and Development Trend Based on Feature Learning[J]. Big Data Research, 2015, 1(3): 72-81.

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