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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Dynamic Invariant-Specific Representation Fusion Network for Multimodal Sentiment Analysis He, Jing; Yanga, Haonan; Zhang, Changfan... In: Comput Intell Neurosci (2022) BASE Show details 2 The Trans-Ancestral Genomic Architecture of Glycemic Traits Chen, Ji; Spracklen, Cassandra N.; Marenne, Gaëlle... In: Nat Genet (2021) BASE Show details 3 Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data ... Sharma, Shikhar; He, Jing; Suleman, Kaheer. - : arXiv, 2016 BASE Show details 4 Mining streams of short text for analysis of world-wide event evolutions Huang, Guangyan; He, Jing; Zhang, Yanchun; Zhou, Wanlei; Liu, Hai; Zhang, Peng; Ding, Zhiming; You, Yue; Cao, Jian. - : Springer, 2015 Abstract: Streams of short text, such as news titles, enable us to effectively and efficiently learn the real world events that occur anywhere and anytime. Short text messages that are companied by timestamps and generally brief events using only a few words differ from other longer text documents, such as web pages, news stories, blogs, technical papers and books. For example, few words repeat in the same news titles, thus frequency of the term (i.e., TF) is not as important in short text corpus as in longer text corpus. Therefore, analysis of short text faces new challenges. Also, detecting and tracking events through short text analysis need to reliably identify events from constant topic clusters; however, existing methods, such as Latent Dirichlet Allocation (LDA), generates different topic results for a corpus at different executions. In this paper, we provide a Finding Topic Clusters using Co-occurring Terms (FTCCT) algorithm to automatically generate topics from a short text corpus, and develop an Event Evolution Mining (EEM) algorithm to discover hot events and their evolutions (i.e., the popularity degrees of events changing over time). In FTCCT, a term (i.e., a single word or a multiple-words phrase) belongs to only one topic in a corpus. Experiments on news titles of 157 countries within 4 months (from July to October, 2013) demonstrate that our FTCCT-based method (combining FTCCT and EEM) achieves far higher quality of the event's content and description words than LDA-based method (combining LDA and EEM) for analysis of streams of short text. Our method also visualizes the evolutions of the hot events. The discovered world-wide event evolutions have explored some interesting correlations of the world-wide events; for example, successive extreme weather phenomenon occur in different locations - typhoon in Hong Kong and Philippines followed hurricane and storm flood in Mexico in September 2013. © 2014 Springer Science+Business Media New York. Keyword: Clustering; Event evolutions; Streams of short text; Text mining; Topic discovery URL: http://hdl.handle.net/10536/DRO/DU:30070657 BASE Hide details 5 Mining streams of short text for analysis of world-wide event evolutions Huang, Guangyan; He, Jing; Zhang, Yanchun... In: World Wide Web, Vol. 18, no. 5 (Sep 2015), pp. 1201-1217 (2015) BASE Show details 6 Finding the minimum number of elements with sum above a threshold Jiang, Yan; Pang, Chaoyi; Zhang, Hao Lan... In: Information sciences. - New York, NY : Elsevier Science Inc. 238 (2013), 205-211 OLC Linguistik Show details 7 PARADISE Based Search Engine at TREC 2009 Web Track Shan, Dongdong; Zhao, Dongsheng; He, Jing... In: DTIC (2009) BASE Show details 8 Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track Vinod Vydiswaran, V. G.; Ganesan, Kavita; Lv, Yuanhua... In: DTIC (2009) BASE Show details 9 The Translation of English and Chinese Puns from the Perspective of Relevance Theory He Jing; School Of English; International Studies... In: http://www.jostrans.org/issue13/art_jing.pdf BASE Show details

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