[PDF] Top 20 Topic detection and tracking on heterogeneous information
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Topic detection and tracking on heterogeneous information
... of topic detection from heterogeneous ...meme- tracking model that iteratively updates the hyper-parameter that controls the document-topic distribution to capture the temporal dynamics ... See full document
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Topic detection and tracking on heterogeneous information
... of topic detection from heterogeneous ...meme- tracking model that iteratively updates the hyper-parameter that controls the document-topic distribution to capture the temporal dynamics ... See full document
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Large, Multilingual, Broadcast News Corpora for Cooperative Research in Topic Detection and Tracking: The TDT-2 and TDT-3 Corpus Efforts
... 4.3. Topic-Story and First Story Annotation In Topic-Story and First Story annotation, the notion of topic is ...In Topic-Story annotation, staff read a list of typically 20 topics that have ... See full document
6
Layered performance modelling and evaluation for cloud topic detection and tracking based big data applications
... “Big Data” best characterized by its three features namely “Variety”, “Volume” and “Velocity” is revolutionizing nearly every aspect of our lives ranging from enterprises to consumers, from science to government. A ... See full document
207
Multilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation
... Topic Detection and Tracking (TDT) refers to automatic techniques for locating topically related material in streams of data such as newswire and broadcast ... See full document
7
Semantic Language Models for Topic Detection and Tracking
... the Topic Detection and Tracking (TDT) ...link detection sub- task of TDT as a two-class classification prob- lem in which the features of each sample con- sist of the generative ... See full document
6
Automated Monitoring of Online News Streams: Topic Detection and Tracking Considerations.
... of Information Management and Systems at the University of California at Berkeley estimated that 5 exabytes of new information was produced in 2002, enough to fill the Library of Congress 500,000 times ... See full document
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On-Line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
... a topic model with no reference of time, and then ordering the documents in time, slicing them into discrete subsets, and examining the topic distributions in each ...of topic modeling pre-divides ... See full document
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On line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online
... a topic model that processes documents in an on-line ...the topic model, in order to track emerging ...TREC Topic Detection and Tracking (TDT) corpus, and then apply it to a series of ... See full document
16
Using Collocations for Topic Segmentation and Link Detection
... (Topic Detection and Tracking) initiative (Fiscus et al., 1999), which addresses all the tasks we have mentioned but from a domain-dependent view- point and not necessarily in an integrated way. ... See full document
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Extraction technologies of blog topic detection
... BLOG TOPIC DESIGN SCHEME OF THE MODELTHE REPRESENTATION OF A TOPIC MODEL Events and activities by the TDT topic is subject component elements by the definition of ...of topic detection ... See full document
5
Tracking unbounded Topic Streams
... More recently, the rise of publicly available real-time social media streams triggered new research on topic detection and tracking, in- tended to apply the technology to those high volume document ... See full document
9
Topic Tracking Based on Linguistic Features
... to topic tracking, including k-Nearest Neighbor classification, Decision Tree induction [3], relevance feedback method of IR [12,13], hierarchical and non-hierarchical clustering algorithms [20], and a ... See full document
12
Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions
... In this work, we focus on the following limi- tations of our former work in retrieving relevant concepts at a given turn with the term vector sim- ilarity between each pair of dialogue segment and Wikipedia article. ... See full document
5
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
... As mentioned above, the proposed model is a flexible frame- work to leverage structure and attribute information through capturing multiple aspects in AHIN. Based on different meta-paths, we can integrate various ... See full document
8
Using Bilingual Comparable Corpora and Semi supervised Clustering for Topic Tracking
... the topic or ...1 topic from the TDT1 and 2 topics from the TDT2, each of which occurred in Japan, and added them in the ...Quake’ topic starts from ...denotes topic number de- fined by the ... See full document
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Topic Tracking using Subject Templates and Clustering Positive Training Instances
... ????????? ?? ?? ???????????????????????????????! "???$#%??&?? '???(?)??* +,&????? '?$ ?????/ 0???'?? '??12? ?3 ??)?????????546???? '? ???!??? 7?8?9; =@@@8?J;8 7?8?[.] ... See full document
5
Thread Cleaning and Merging for Microblog Topic Detection
... Topic detection is the technique that discovers the latent topics from the given collection of ..., topic detection research has attracted intensive and persistent interests from governments ... See full document
9
TIDM: Topic-Specific Information Detection Model
... Nowadays information control and detection on the social network have become a problem that we should solve as soon as ...the Topic-Specific Information Detection Model (TIDM) for ... See full document
8
Topic Transition Strategies for an Information Giving Agent
... about topic switching: According to Clark (1996) a topic can be described as a joint project as it is jointly established during ongoing ...a topic shift is that if A has been talking about X, B ... See full document
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