基于特征学习的文本大数据内容理解及其发展趋势

Text Big Data Content Understanding and Development Trend Based on Feature Learning

大数据中蕴含着重要的价值信息,文本大数据作为大数据的重要组成部分,是人类知识的主要载体。特征作为数据内在规律的反映,将文本大数据映射到反映数据本质的特征空间是文本大数据语义理解的重要手段。介绍了文本大数据的特征表示、特征学习,进而梳理了特征学习在文本大数据内容理解中的进展,最后阐述了基于特征学习的文本大数据内容理解未来的发展趋势。

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.