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  1. No Access

    Chapter and Conference Paper

    Online News Emotion Prediction with Bidirectional LSTM

    Recent years have brought a significant growth in the volume of user generated data. Sentiment analysis is a crucial tool in the mining of such data, which is of great value for both improving particular servi...

    Xue Zhao, Chao Wang, Zhifan Yang, Ying Zhang… in Web-Age Information Management (2016)

  2. No Access

    Chapter and Conference Paper

    A Distributed Frequent Itemsets Mining Algorithm Using Sparse Boolean Matrix on Spark

    Frequent itemsets mining is one of the most important aspects in data mining for finding interesting knowledge in a huge mass of data. However, traditional frequent itemsets mining algorithms are usually data-...

    Yonghong Luo, Zhifan Yang, Huike Shi, Ying Zhang in Web Technologies and Applications (2016)

  3. No Access

    Chapter and Conference Paper

    Multi-Label Emotion Tagging for Online News by Supervised Topic Model

    An enormous online news services provide users with interactive platforms where users can freely share their subjective emotions, such as sadness, surprise, and anger, towards the news articles. Such emotions ...

    Ying Zhang, Lili Su, Zhifan Yang, Xue Zhao… in Web Technologies and Applications (2015)