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Topic Detection in Multichannel Italian Newspapers [PDF]
Nowadays, any person, company or public institution uses and exploits different channels to share private or public information with other people (friends, customers, relatives, etc.) or institutions. This context has changed the journalism, thus, the major newspapers report news not just on its own web site, but also on several social media such as ...
Laura Po, Federica Rollo, Po Laura
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Hot Topic Detection on Newspaper
Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018, 2018Online newspaper nowadays is gradually replacing the traditional one and the variety of articles on newspaper motivated the need for capturing hot topics to give Internet users a shortcut to the hot news. A hot topic always reflects the people's concern in real life and has big impact not only on community but also in business.
Tuan-Dung Cao +2 more
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TOPIC-TRIGGERED METAPHORS IN NEWSPAPER HEADLINES
Professional Communication and Translation Studies, 2023The paper deals with metonymy based metaphors in sports newspaper headlines. These are mainly novel, unconventional metaphors, in which the choice of a metaphorical source domain is triggered by some aspects of the target domain. We deal with such metaphors where the NICKNAME of a sports club (animal- or bird-related) metonymically stands for the ...
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Topics and issues of “Ak Yol” newspaper
SCIENTIFIC WORK, 2020This article reviews the headlines of the Ak Zhol newspaper, which has been published three times a week in Tashkent from the 7th December in 1920. The publication contains articles on various topics under regular headings. Emphasis is placed on the relevance of those articles.
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Probabilistic topic decomposition of an eighteenth‐century American newspaper
Journal of the American Society for Information Science and Technology, 2006AbstractWe use a probabilistic mixture decomposition method to determine topics in thePennsylvania Gazette, a major colonial U.S. newspaper from 1728–1800. We assess the value of several topic decomposition techniques for historical research and compare the accuracy and efficacy of various methods.
David J. Newman, Sharon Block
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Assessing Together the Trends in Newspaper Topics and User Opinions
2022This chapter proposes and explores all features of a model capable of capturing trends within large corpora of texts. Not only are trends assessed through a numerical index, but they are displayed alongside rhetorical and attitudinal information on all topics concerned for all relevant epochs.
Elise Noga-Hartmann, Dimitris Kotzinos
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Building a Hierarchy of Events and Topics for Newspaper Digital Libraries
2003In this paper we propose an incremental hierarchical clustering algorithm for on-line event detection. This algorithm is applied to a set of newspaper articles in order to discover the structure of topics and events that they describe. In the first level, articles with a high temporal-semantic similarity are clustered together into events.
Aurora Pons-Porrata +2 more
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Topic Modeling of Conflict Reports in National Daily Newspapers
Taegu Science University Defense Security Institute, 2023This study aims to examine the subject and characteristics of conflict reports in major national daily newspapers in Korea. This study is intended to understand which aspects of the news media coverage focuses on between the positive function and the negative function of the conflict.
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Identification and description of topics for newspaper comment summarisation
2022Newspaper comments are content generated and posted by users in response to a news- paper article. The volume of comments posted has increased to the point where they are not easily readable or understandable within the systems currently used. The re- search that is conducted here is done with the aim of summarising this valuable content in order to ...
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Topic Modeling on Historical Newspapers.
2011Paper for the 2011 ACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. This paper discusses topic modeling on historical newspaper.
Yang, Tze-I +2 more
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