Next-generation big data analytics: State of the art, challenges, and future research topics
Z Lv, H Song, P Basanta-Val… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The term big data occurs more frequently now than ever before. A large number of fields and
subjects, ranging from everyday life to traditional research fields (ie, geography and …
subjects, ranging from everyday life to traditional research fields (ie, geography and …
On dynamic topic models for mining social media
Analyzing media in real time is of great importance with social media platforms at the
epicenter of crunching, digesting, and disseminating content to individuals connected to …
epicenter of crunching, digesting, and disseminating content to individuals connected to …
[HTML][HTML] 基于知识图谱和LDA 模型的社会媒体数据抽取
麻友， 岳昆， 张子辰， 王笑一， 郭建斌 - … 师范大学学报(自然科学版), 2018 - xblk.ecnu.edu.cn
社会媒体数据的抽取, 是社会舆论集散, 新闻信息传播, 企业品牌推广, 商业营销拓展等研究和
应用的基础, 准确的抽取结果是数据分析有效性的重要保证. 本文针对社会媒体数据的非结构 …
应用的基础, 准确的抽取结果是数据分析有效性的重要保证. 本文针对社会媒体数据的非结构 …
MR-LDA: an efficient topic model for classification of short text in big social data
Abstract Latent Dirichlet Allocation (LDA) is an efficient method of text mining, but applying
LDA directly to Chinese micro-blog texts will not work well because micro-blogs are more …
LDA directly to Chinese micro-blog texts will not work well because micro-blogs are more …
[PDF][PDF] 主题模型在基于社交媒体的灾害分类中的应用及比较
苏凯， 程昌秀， 张婷 - 地球信息科学学报, 2019 - gda.bnu.edu.cn
“一带一路” 沿线为自然灾害高发地区, 且多为经济欠发达, 抗灾能力弱的发展中国家. 灾害发生时,
挖掘和分析相关推特数据有助于开展应急救援, 灾情评估, 减灾防灾等工作 …
挖掘和分析相关推特数据有助于开展应急救援, 灾情评估, 减灾防灾等工作 …
[PDF][PDF] Supervised Deep Polylingual Topic Modeling for Scholarly Information Recommendations.
P Samatthiyadikun, A Takasu - ICPRAM, 2018 - scitepress.org
Polylingual text processing is important for content-based and hybrid recommender systems.
It helps recommender systems extract content information from broader sources. It also …
It helps recommender systems extract content information from broader sources. It also …