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New event detection and topic tracking in Turkish

Fazli Can, Seyit Kocberber, Ozgur Baglioglu, Suleyman Kardas, H. Cagdas Ocalan, Erkan Uyar
2010 Journal of the American Society for Information Science and Technology  
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]

Bilge Acun, Alper Başpınar, Ekin Oğuz, M. İlker Saraç, Fazlı Can
2012 Computer and Information Sciences III  
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

Cem Aksoy, Fazli Can, Seyit Kocberber
2011 Journal of the American Society for Information Science and Technology  
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

Güven Köse, Yaşar Tonta, Hamid Ahmadlouei
2013 Zenodo  
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

Guven Kose, Yasar Tonta, Hamid Ahmadlouei, Aydin Can Polatkan
2013 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)  
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

ÇAĞRI TORAMAN
2022 Turkish Journal of Electrical Engineering and Computer Sciences  
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  
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]

Bichen Shi, Georgiana Ifrim, Neil Hurley
2014 Lecture Notes in Computer Science  
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

Esra Kahya Özyirmidokuz
2014 Procedia Economics and Finance  
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]

Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter
2017 Lecture Notes in Computer Science  
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]

Ozer Ozdikis, Pinar Senkul, Halit Oguztuzun
2014 Lecture Notes in Social Networks  
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

Derya Cokal, Patrick Sturt, Fernanda Ferreira
2021 Dialogue and Discourse  
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

Chandan Kumar, Jun Sun, Nico Daheim, Steffen Staab, Ioannis Kompatsiaris, Panagiotis Karadimos, Filareti Tsalakanidou
2019 Zenodo  
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]

Ali Hürriyetoğlu
2020 arXiv   pre-print
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]

Weixin Li, Jungseock Joo, Hang Qi, Song-Chun Zhu
2015 arXiv   pre-print
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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