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检索条件"主题词=Topic Detection and Tracking"
76 条 记 录,以下是41-50 订阅
排序:
Complementary Aspect-based Opinion Mining Across Asymmetric Collections  15
Complementary Aspect-based Opinion Mining Across Asymmetric ...
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IEEE International Conference on Data Mining (ICDM)
作者: Zuo, Yuan Wu, Junjie Zhang, Hui Wang, Deqing Lin, Hao Wang, Fei Xu, Ke Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China Beihang Univ Sch Econ & Management Beijing 100191 Peoples R China
Aspect-based opinion mining is to find elaborate opinions towards an underlying theme, perspective or viewpoint as to a subject such as a product or an event. Nowadays, with rapid growing of opinionated text on the We... 详细信息
来源: 评论
tracking topic evolution in on-line postings: 2006 IBM innovation jam data
Tracking topic evolution in on-line postings: 2006 IBM innov...
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12th Pacific-Asia Conference on Knowledge Discovery and Data Mining
作者: Kobayashi, Mei Yung, Raylene IBM Tokyo Res Lab Kanagawa 2428502 Japan
Participants in on-line discussion forums and decision makers are interested in understanding real-time communications between large numbers of parties on the internet and intranet. As a first step towards addressing ... 详细信息
来源: 评论
Story Link detection in Turkish Corpus
Story Link Detection in Turkish Corpus
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12th IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT)
作者: Kose, Guven Tonta, Yasar Ahmadlouei, Hamid Polatkan, Aydin Can Hacettepe Univ Dept Informat Management Ankara Turkey Univ Tubingen Fac Sci Ctr Bioinformat Tubingen Tubingen Germany
Story Link detection (SLD) is known as a sub-task of topic detection and tracking (TDT). SLD aims to specify whether two randomly selected stories discuss the same topic or not. This sub-task drew special attention wi... 详细信息
来源: 评论
topic Model Allocation of Conversational Dialogue Records by Latent Dirichlet Allocation
Topic Model Allocation of Conversational Dialogue Records by...
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Annual Summit and Conference of Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA)
作者: Yeh, Jui-Feng Lee, Chen-Hsien Tan, Yi-Shiuan Yu, Liang-Chih Natl Chiayi Univ Dept Comp & Informat Sci Chiayi 60004 Taiwan Yuan Zu Univ Dept Informat Management Taoyuan Taiwan
The topic information of conversational content is important for continuation with communication, so topic detection and tracking is one of important research. Due to there are many topic transform occurring frequentl... 详细信息
来源: 评论
A Network Alert Degree Evaluation Model Based on Cooperative Computing
A Network Alert Degree Evaluation Model Based on Cooperative...
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7th International Conference on Grid and Cooperative Computing
作者: Hu Chang-Jun Weng Yu Shi Peng Univ Sci & Technol Beijing Sch Informat & Engn Beijing 100083 Peoples R China
Oriented to the deficiency of cooperative analysis ability between different network domains in traditional topic detection and tracking (TDT), this paper proposes a network alert degree evaluation model based on coop... 详细信息
来源: 评论
Stochastic Approach to Aspect tracking  23rd
Stochastic Approach to Aspect Tracking
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23rd International Conference on Applications of Natural Language to Information Systems (NLDB)
作者: Inoue, Maoto Miura, Takao Hosei Univ Dept Adv Sci 3-7-2 KajinoCho Koganei Tokyo 1848584 Japan
In this investigation, we discuss aspect tracking, i.e., how to identify tracking storylines of document topics. Since there happen huge amount of fragment information, it is hard to see what they mean and how they go... 详细信息
来源: 评论
Discovering Event Evolution Graphs based on News Articles Relationships  11
Discovering Event Evolution Graphs based on News Articles Re...
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11th IEEE International Conference on e-Business Engineering (ICEBE)
作者: Huang, Dongping Hu, Shuyu Cai, Yi Min, Huaqing S China Univ Technol Sch Software Engn Guangzhou 510641 Guangdong Peoples R China
There are many news articles reported online everyday. Within an ongoing topic, people can find a huge amount of news articles. A topic often consists of several events, and people are interested in the whole evolutio... 详细信息
来源: 评论
SUBtopic-BASED MULTI-DOCUMENT SUMMARIZATION
SUBTOPIC-BASED MULTI-DOCUMENT SUMMARIZATION
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International Conference on Machine Learning and Cybernetics
作者: Dai, Lin Tang, Ji-Liang Xia, Yun-Qing Beijing Inst Technol Sch Comp Sci Beijing Lab Intelligent Informat Technol Beijing 100081 Peoples R China
This paper proposes a novel approach for multi-document summarization based on subtopic segmentation. It firstly detects the subtopics in a topic, and then finds the central sentence for each subtopic. The sentences a... 详细信息
来源: 评论
tracking Aspects in News Documents  18
Tracking Aspects in News Documents
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18th IEEE International Conference on Data Mining Workshops (ICDMW)
作者: Inoue, Maoto Miura, Takao Hosei Univ Dept Adv Sci Kajinocho 3-7-2 Koganei Tokyo 1868584 Japan
In this investigation, we discuss aspect tracking, i.e., how to identify tracking story-lines of document topics. Because a huge amount of fragment information occurs, it is difficult to see what they mean and how the... 详细信息
来源: 评论
topic Diffusion Discovery based on Deep Non-negative Autoencoder  21
Topic Diffusion Discovery based on Deep Non-negative Autoenc...
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21st IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI)
作者: Huang, Sheng-Tai Kang, Yihuang Hung, Shao-Min Kuo, Bowen Cheng, I-Ling Natl Sun Yat Sen Univ Dept Informat Management Kaohsiung Taiwan Natl Chung Hsing Univ Grad Inst Lib & Informat Sci Taichung Taiwan
Researchers have been overwhelmed by the explosion of research articles published by various research communities. Many research scholarly websites, search engines, and digital libraries have been created to help rese... 详细信息
来源: 评论