Relevant bibliographies by topics / News clustering

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'News clustering'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "News clustering"

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Inoua, Sabiou M. "News-Driven Expectations and Volatility Clustering." Journal of Risk and Financial Management 13, no. 1 (2020): 17. http://dx.doi.org/10.3390/jrfm13010017.

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Financial volatility obeys two fascinating empirical regularities that apply to various assets, on various markets, and on various time scales: it is fat-tailed (more precisely power-law distributed) and it tends to be clustered in time. Many interesting models have been proposed to account for these regularities, notably agent-based models, which mimic the two empirical laws through a complex mix of nonlinear mechanisms such as traders switching between trading strategies in highly nonlinear way. This paper explains the two regularities simply in terms of traders’ attitudes towards news, an e
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Azzopardi, Joel, and Christopher Staff. "Incremental Clustering of News Reports." Algorithms 5, no. 3 (2012): 364–78. http://dx.doi.org/10.3390/a5030364.

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Dangre, N., A. Bodke, A. Date, S. Rungta, and S. S. Pathak. "System for Marathi News Clustering." Procedia Computer Science 92 (2016): 18–22. http://dx.doi.org/10.1016/j.procs.2016.07.317.

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Ambarwati, Ambarwati, and Edi Winarko. "Pengelompokan Berita Indonesia Berdasarkan Histogram Kata Menggunakan Self-Organizing Map." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 8, no. 1 (2014): 101. http://dx.doi.org/10.22146/ijccs.3500.

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AbstrakBerita merupakan sumber informasi yang dinantikan oleh manusia setiap harinya. Manusia membaca berita dengan kategori yang diinginkan. Jika komputer mampu mengelompokkan berita secara otomatis maka tentunya manusia akan lebih mudah membaca berita sesuai dengan kategori yang diinginkan. Pengelompokan berita yang berupa artikel secara otomatis sangatlah menarik karena mengorganisir artikel berita secara manual membutuhkan waktu dan biaya yang tidak sedikit.Tujuan penelitian ini adalah membuat sistem aplikasi untuk pengelompokkan artikel berita dengan menggunakan algoritma Self Organizing
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Liu, Xiaohua. "Translation of news reports related to COVID-19 of Japanese Linguistics based on page link mining." Journal of Intelligent & Fuzzy Systems 39, no. 6 (2020): 8981–88. http://dx.doi.org/10.3233/jifs-189296.

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In the face of the current epidemic situation, news reports are facing the problem of higher accuracy. The speed and accuracy of public emergency news depends on the accuracy of web page links and tags clustering. An improved web page clustering method based on the combination of topic clustering and structure clustering is proposed in this paper. The algorithm takes the result of web page structure clustering as the weight factor. Combined with the web content clustering by K-means algorithm, the basic content that meets the conditions is selected. Through the improved translator of clusterin
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Darvishy, Asghar, Hamidah Ibrahim, Fatimah Sidi, and Aida Mustapha. "A Customized Non-Exclusive Clustering Algorithm for News Recommendation Systems." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 27, no. 1 (2019): 368–79. http://dx.doi.org/10.29196/jubpas.v27i1.2192.

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Clustering is one of the main tasks in machine learning and data mining and is being utilized in many applications including news recommendation systems. In this paper, we propose a new non-exclusive clustering algorithm named Ordered Clustering (OC) with the aim is to increase the accuracy of news recommendation for online users. The basis of OC is a new initialization technique that groups news items into clusters based on the highest similarities between news items to accommodate news nature in which a news item can belong to different categories. Hence, in OC, multiple memberships in clust
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Blokh, Ilya, and Vassil Alexandrov. "News clustering based on similarity analysis." Procedia Computer Science 122 (2017): 715–19. http://dx.doi.org/10.1016/j.procs.2017.11.428.

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Chen, Dan Wen, Li Qiong Deng, Zhi Min Yuan, and Ling Da Wu. "Combining Multi-Modal Features for News Story Correlation Analysis." Advanced Materials Research 268-270 (July 2011): 1040–45. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1040.

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How to combine multi-modal features effectively is a difficult problem in news story correlation analysis, this paper puts forward a new two-stage fusion approach based on visual and textual features fusion to solve this problem. First we use a co-clustering method to get the clustering groups of similar stories with the visual and semantic information of news story. And then, on the base of the result of the first step, we use different weighted strategies to analyze the news story correlation in a further way, which aim at the different type of news story. The methods can get a better result
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Rodrigues, David M. S. "Q-analysis Based Clustering of Online News." Interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity 3, no. 3 (2014): 227–36. http://dx.doi.org/10.5890/dnc.2014.09.002.

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Kayal, Subhradeep. "Face Clustering Experiments on News Video Images." Journal of Automation and Control Engineering 1, no. 3 (2013): 213–16. http://dx.doi.org/10.12720/joace.1.3.213-216.

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Dissertations / Theses on the topic "News clustering"

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Abuel-Futuh, Haytham. "News Feeds Clustering Research Study." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/52.

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With over 0.25 billion web pages hosted in the World Wide Web, it is virtually impossible to navigate through the Internet. Many applications try to help users achieve this task. For example, search engines build indexes to make the entire World Wide Web searchable, and news curators allow users to browse topics of interest on different structured sites. One problem that arises for these applications and others with similar goals is identifying documents with similar contents. This helps the applications show users documents with unique contents as well as group various similar documents under
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Borglund, Jon. "Event-Centric Clustering of News Articles." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209654.

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Entertainity AB plans to build a news service to provide news to end-users in an innovative way. The service must include a way to automatically group series of news from different sources and publications, based on the stories they are covering.This thesis include three contributions: a survey of known clustering methods, an evaluation of human versus human results when grouping news articles in an event-centric manner, and last an evaluation of an incremental clustering algorithm to see if it is possible to consider a reduced input size and still get a sufficient result.The conclusions are t
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Pasi, Niharika. "Analysis of online news media through visualisation and text clustering." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361562.

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Online news has grown in frequency and popularity as a convenient source of information for several years. A result of this drastic surge is the increased competition for viewer-ship and prolonged relevance of online news websites. Higher demands by internet audiences have led to the use of sensationalism such as ‘clickbait’ articles or ‘fake news’ to attract more viewers. The subsequent shift in the journalistic approach in new media opened new opportunities to study the behaviour and intent behind the news content. As news publications cater their news to a specific target audience, conclusi
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Kantzola, Evangelia. "Extractive Text Summarization of Greek News Articles Based on Sentence-Clusters." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420291.

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This thesis introduces an extractive summarization system for Greek news articles based on sentence clustering. The main purpose of the paper is to evaluate the impact of three different types of text representation, Word2Vec embeddings, TF-IDF and LASER embeddings, on the summarization task. By taking these techniques into account, we build three different versions of the initial summarizer. Moreover, we create a new corpus of gold standard summaries to evaluate them against the system summaries. The new collection of reference summaries is merged with a part of the MultiLing Pilot 2011 in or
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Ptitsyn, Andrey. "New algorithms for EST clustering." Thesis, University of the Western Cape, 2000. http://etd.uwc.ac.za/index.php?module=etd&amp.

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Expressed sequence tag database is a rich and fast growing source of data for gene expression analysis and drug discovery. Clustering of raw EST data is a necessary step for further analysis and one of the most challenging problems of modem computational biology.
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Kailing, Karin. "New Techniques for Clustering Complex Objects." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-28407.

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Ling, E. N. "New statistical approaches to galaxy clustering." Thesis, University of Sussex, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232960.

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Liu, Jinze Wang Wei. "New approaches for clustering high dimensional data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,584.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
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Kröger, Peer. "Coping With New Challengens for Density-Based Clustering." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-23966.

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Al, Shaqsi Jamil Darwish. "A novel clustering algorithm with a new similarity measure and ensemble methods for mixed data clustering." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533717.

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This thesis addressed some specific issues in clustering: (1) clustering algorithms, (2) similarity measures, (3) number of clusters, K, and (4) clustering ensemble methods. Following on an in-depth review of clustering methods, a new three staged (3-Staged) clustering algorithm is proposed, with new three key aspects: (1) a new method for automatically estimating the K value, (2) a new similarity measure and (3) initiating the clustering process with a promising BASE. A BASE is a real sample that acts like a centroid or a medoid in common clustering methods but it is determined differently in
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Books on the topic "News clustering"

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Bonnay, Denis. A Clustering-Based Approach to Collective Beliefs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190680534.003.0008.

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In this chapter, I argue in favor of a new approach to collective beliefs in unorganized groups, in terms of doxastic clustering. When a group does not have dedicated mechanisms for production of collective beliefs, and when individual beliefs of members of the group are diverse, it does not make much sense to attribute to the group some average beliefs or any other kind of collective beliefs produced by aggregating individual beliefs. Rather, beliefs are meaningfully attributed to coherent subgroups of individuals who share similar opinions. In this case, attribution of collective beliefs inv
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Peebles, P. J. E. The Large-Scale Structure of the Universe. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691209838.001.0001.

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An instant landmark on its publication, this book remains the essential introduction to this vital area of research. Written by one of the world's most esteemed theoretical cosmologists, it provides an invaluable historical introduction to the subject, and an enduring overview of key methods, statistical measures, and techniques for dealing with cosmic evolution. With characteristic clarity and insight, the author focuses on the largest known structures — galaxy clusters — weighing the empirical evidence of the nature of clustering and the theories of how it evolves in an expanding universe. A
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Jones, Geoffrey. Corporate Environmentalism and the Boundaries of Sustainability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198706977.003.0010.

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This chapter reviews the history of green entrepreneurship, arguing that green entrepreneurship was shaped by four different temporal contexts between the mid-nineteenth century and the present day. Although there were significant achievements over the entire period, it was only in the most recent era that green business achieved legitimacy and scale. Green entrepreneurs often had religious and ideological motivations, but they were shaped by their institutional and temporal context. They created new markets and categories through selling their ideas and products, and by imagining the meaning
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Bentham, James R. The genetics of congenital heart disease. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0022.

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Congenital heart disease (CHD) is defined as a structural cardiac malformation resulting from an abnormality of development; 8% of CHD is inherited in a Mendelian fashion and 12% results from chromosomal imbalance. Recurrence risk and new research suggest that even the remaining 80% of patients without an identifiable familial or syndromic basis for disease may have an identifiable genetic cause. The potential to understand these mechanisms is increasing with the advent of new sequencing techniques which have identified multiple or single rare variants and/or copy number variants clustering in
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Arbustini, Eloisa, Valentina Favalli, Alessandro Di Toro, Alessandra Serio, and Jagat Narula. Classification of cardiomyopathies. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0348.

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For over 50 years, the definition and classification of cardiomyopathies have remained anchored in the concept of ventricular dysfunction and myocardial structural remodelling due to unknown cause. The concept of idiopathic was first challenged in 2006, when the American Heart Association classification subordinated the phenotype to the aetiology. Cardiomyopathies were classified as genetic, acquired, and mixed. In 2008, the European Society of Cardiology proposed a phenotype-driven classification that separated familial (genetic) from non-familial (non-genetic) forms of cardiomyopathy. Both c
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Book chapters on the topic "News clustering"

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Moe, Richard Elling. "Clustering in a News Corpus." In Text, Speech and Dialogue. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10816-2_37.

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Iyota, Tatsuya, and Keiji Yanai. "The Photo News Flusher: A Photo-News Clustering Browser." In Advances in Multimedia Information Processing – PCM 2007. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77255-2_60.

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Flynn, Cormac, and John Dunnion. "Event Clustering in the News Domain." In Text, Speech and Dialogue. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30120-2_9.

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Casillas, Arantza, Mayte de González Lena, and Raquel Martínez. "Partitional Clustering Experiments with News Documents." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36456-0_68.

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Hou, Jiaying, Zhengtao Yu, Xudong Hong, and Feng Li. "Clustering of News Topics Integrating the Relationship among News Elements." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49508-8_42.

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Jo, Taeho. "Clustering News Articles in NewsPage.com Using NTSO." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10583-8_4.

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Bouras, Christos, and Vassilis Tsogkas. "W-kmeans: Clustering News Articles Using WordNet." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15393-8_43.

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Zhang, Hui, Guo-hui Li, and Xin-wen Xu. "A On-Line News Documents Clustering Method." In Active Media Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_9.

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Naughton, Martina, Nicholas Kushmerick, and Joe Carthy. "Clustering Sentences for Discovering Events in News Articles." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11735106_59.

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Soloshenko, Anastasia N., Yulia A. Orlova, Vladimir L. Rozaliev, and Alla V. Zaboleeva-Zotova. "Thematic Clustering Methods Applied to News Texts Analysis." In Communications in Computer and Information Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11854-3_25.

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Conference papers on the topic "News clustering"

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Miranda, Sebastião, Artūrs Znotiņš, Shay B. Cohen, and Guntis Barzdins. "Multilingual Clustering of Streaming News." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1483.

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Faathima Fayaza, M. S., and Surangika Ranathunga. "Tamil News Clustering Using Word Embeddings." In 2020 Moratuwa Engineering Research Conference (MERCon). IEEE, 2020. http://dx.doi.org/10.1109/mercon50084.2020.9185282.

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Chu, Wei-Ta, and Han-Nung Hsu. "News story clustering with fisher embedding." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7471861.

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Vadrevu, Srinivas, Choon Hui Teo, Suju Rajan, et al. "Scalable clustering of news search results." In the fourth ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/1935826.1935918.

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Shah, Najaf Ali, and Ehab M. ElBahesh. "Topic-based clustering of news articles." In the 42nd annual Southeast regional conference. ACM Press, 2004. http://dx.doi.org/10.1145/986537.986639.

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Liu, Yu, and Li Li. "Similarity Based Hot Spot News Clustering." In 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). IEEE, 2015. http://dx.doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.243.

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Florence, Ronaldo, Bruno Nogueira, and Ricardo Marcacini. "Constrained Hierarchical Clustering for News Events." In the 21st International Database Engineering & Applications Symposium. ACM Press, 2017. http://dx.doi.org/10.1145/3105831.3105859.

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Wu, Jianwu. "Web News Summarization via Soft Clustering Algorithm." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.838.

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Saravia, Elvis, Adam Liu, and Yi-Shin Chen. "Clustering Social News Based on User Affection." In 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2017. http://dx.doi.org/10.1109/taai.2017.37.

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Anantharajah, Kaneswaran, Simon Denman, Dian Tjondronegoro, Sridha Sridharan, and Clinton Fookes. "Robust Automatic Face Clustering in News Video." In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371301.

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Reports on the topic "News clustering"

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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend
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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, et al. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence
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