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New event detection and topic tracking in Turkish
2010
Journal of the American Society for Information Science and Technology
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Two major problems in TDT are new event detection (NED) and topic tracking (TT). ...
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. ...
Acknowledgements We thank our colleagues, friends, and students for their topic annotations. ...
doi:10.1002/asi.21264
fatcat:7undpouwlrebno43xirgberlqu
Topic Tracking Using Chronological Term Ranking
[chapter]
2012
Computer and Information Sciences III
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Topic tracking (TT) is an important component of topic detection and tracking (TDT) applications. ...
We propose an alternative similarity measure based on chronological term ranking (CTR) concept to quantify the relatedness among news articles for topic tracking. ...
We thank Süleyman Kardaş of Sabancı University for his helps in performance evaluation. ...
doi:10.1007/978-1-4471-4594-3_36
dblp:conf/iscis/AcunBOSC12
fatcat:q73yvblzmrhgvj7wnql6eessx4
Novelty detection for topic tracking
2011
Journal of the American Society for Information Science and Technology
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However, in such environments, news variety and quantity can have an overwhelming effect. New-event detection and topic-tracking studies address this problem. ...
We study the novelty detection (ND) problem on the tracking news of a particular topic. ...
Acknowledgments We thank our colleagues, friends, and students for their topic annotations. We are grateful to the anonymous referees for their constructive comments and suggestions. ...
doi:10.1002/asi.21697
fatcat:xa24j2hz3rcsbkb7qs4jbjasja
Story Link Detection In Turkish Corpus
2013
Zenodo
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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. ...
In this study, performance tests were carried out on the BilCol-2005 Turkish news corpus composed of approximately 209,000 news items using vector space model (VSM) and relevance model (RM) methods with ...
Topic detection and tracking (TDT) is one of the sub-areas of T-IR. ...
doi:10.5281/zenodo.1147445
fatcat:aacaok3lrvep7da67vpmdexyui
Story Link Detection in Turkish Corpus
2013
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
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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. ...
In this study, performance tests were carried out on the BilCol-2005 Turkish news corpus composed of approximately 209,000 news items using vector space model (VSM) and relevance model (RM) methods with ...
ACKNOWLEDGMENT This work is partially supported by the Scientific and Technical Research Council of Turkey (TÜBİTAK) under the grant number 106E014. ...
doi:10.1109/wi-iat.2013.23
dblp:conf/webi/KoseTAP13
fatcat:zn2vz7ejmzhsximdfjvmcrpdja
Event-related microblog retrieval in Turkish
2022
Turkish Journal of Electrical Engineering and Computer Sciences
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In this study, assuming that news articles are given as queries and microblogs as documents, we find event-related microblogs in Turkish. ...
is successful to represent event as query, and (iii) preprocessing Turkish microblogs has positive impact in bag-of-words and also FastText embeddings, while BERT embeddings are robust to noise in Turkish ...
Another related domain is topic tracking, in which new events or topics are detected among temporally ordered stories of document streams, such as news feed [9] . ...
doi:10.55730/1300-0632.3827
fatcat:fn2forwcvrfefkuyzjf5csk2va
Event-related microblog retrieval in Turkish
2021
Turkish Journal of Electrical Engineering and Computer Sciences
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In this study, assuming that news articles are given as queries and microblogs as documents, we find event-related microblogs in Turkish. ...
is successful to represent event as query, and (iii) preprocessing Turkish microblogs has positive impact in bag-of-words and also FastText embeddings, while BERT embeddings are robust to noise in Turkish ...
Another related domain is topic tracking, in which new events or topics are detected among temporally ordered stories of document streams, such as news feed [9] . ...
doi:10.3906/elk-2108-167
fatcat:w3whflfij5fdnph6nxj4hylyn4
Insight4News: Connecting News to Relevant Social Conversations
[chapter]
2014
Lecture Notes in Computer Science
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Insight4News builds on our award winning Twitter topic detection approach and several machine learning components, to deliver news in a social context. ...
The user can track their own news article or a topic-focused Twitter stream. ...
Insight4News links news articles from mainstream media (e.g., BBC), to relevant Twitter conversations, as delivered by tweets, hashtags and automatically detected events. ...
doi:10.1007/978-3-662-44845-8_38
fatcat:fjo7uktbazeszfan5axqd4aiuu
Mining Unstructured Turkish Economy News Articles
2014
Procedia Economics and Finance
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We mine unstructured economy news with natural language processing techniques including tokenization, transform cases, filtering stopwords and stemming. ...
Therefore, economy news is structured into numeric representations that summarize them. In addition, k-means clustering is used. ...
Besides identifying events and presenting news titles and keywords that the topic detection and tracking techniques are used to do, a summarized text to present event evolution is necessary for general ...
doi:10.1016/s2212-5671(14)00809-0
fatcat:owg4kjjnerbsfpwnmngteljnn4
A Hierarchical Topic Modelling Approach for Tweet Clustering
[chapter]
2017
Lecture Notes in Computer Science
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In this paper, we explore various ways of tackling this challenge and finally propose a two-stage hierarchical topic modelling system that is efficient and effective in alleviating the data sparsity problem ...
We present an extensive evaluation on two datasets, and report our proposed system achieving the best performance in both document clustering performance and topic coherence. ...
We would also like to thank Anjie Fang, Dat Quoc Nguyen, Jey Han Lau, Svitlana Vakulenko and Weihua Hu for answering questions regarding their work, respectively. ...
doi:10.1007/978-3-319-67256-4_30
fatcat:o7sgton7qfbrhltvv7ledpv32m
Context Based Semantic Relations in Tweets
[chapter]
2014
Lecture Notes in Social Networks
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The results indicate higher accuracy in clustering, earlier event detection and more refined event clusters. ...
In this work, we apply semantic relationship analysis methods based on term co-occurrences in tweets, and evaluate their effect on detection of daily events from Twitter. ...
Evaluation of Event Detection In the Topic Detection and Tracking (TDT) domain, evaluation of event detection algorithms is usually made either by precision-recall [23] or by false alarm-miss rate analysis ...
doi:10.1007/978-3-319-05912-9_2
fatcat:3wqnkwmozbfjrnvjdetyhr3l5e
Processing of discourse anaphors by L2 speakers of English
2021
Dialogue and Discourse
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In the eye-tracking experiments, Turkish L2 learners did not show evidence of using a recency strategy to resolve referential ambiguity and did not use spatial- temporal or focusing features of this and ...
We tested our predictions in two eye- tracking reading experiments and one sentence-completion experiment. ...
Acknowledgements The project was funded by OYP and the Scientific and Technological Research Council of Turkey (TUBITAK), Grant No. 108K405 and the ERC, grant number 695662. ...
doi:10.5210/dad.2021.202
fatcat:3jvlo3etovhgjn2k3fbixm5ixe
D6.1 - Methodologies and tools for big data analysis via text mining and geo-social characterization, aiming to opinion extraction, trend detection and predictive analysis
2019
Zenodo
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In this regard, we propose an extensive approach to detect the trends and provide historical analysis from news articles comments, Twitter feeds, and events. ...
The information extraction techniques will be used to obtain the most relevant information from news articles, event logs, and social media feeds. ...
In this regard, we propose an extensive approach to detect the trends and provide historical analysis from news articles comments, Twitter feeds, and events. ...
doi:10.5281/zenodo.3386016
fatcat:2jnhdtvgsjd6bltqf2kxp577e4
Tense, aspect and mood based event extraction for situation analysis and crisis management
[article]
2020
arXiv
pre-print
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Although the focus is on news reports of natural disasters, disease outbreaks and man-made disasters in Turkish language, the approach can be adapted to other languages, domains and genres. ...
The result is a system which can, in addition to extracting basic event structures, classify sentences given in news reports according to their temporal, modal and volitional/illocutionary values. ...
TAM marker in Turkish news reports is -DI (and its enclitic counterpart -(y)DI). ...
arXiv:2008.01555v1
fatcat:cnihhadqyjeo3pnfsgn7afag44
Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation
[article]
2015
arXiv
pre-print
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In this paper, we aim to develop a method for automatically detecting and tracking topics in broadcast news. ...
We detect news topics through a cluster sampling process which groups stories about closely related events. ...
Francis Steen and Tim Groeling at UCLA, and Dr. Chengxiang Zhai at UIUC for discussions and insightful suggestions. We would also like to thank Dr. ...
arXiv:1512.04701v1
fatcat:uzj6cisl7jarhmi264wmeqizdy
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