{"title":"News Headlines: What They Can Tell Us?","authors":"S. Mazumder, Bazir Bishnoi, D. Patel","doi":"10.1145/2662117.2662121","DOIUrl":null,"url":null,"abstract":"News headlines represent the key idea of news articles published in online news media and act as a great resource for discovering news concepts and their relationships. Moreover, the temporal information associated with the news headlines can be utilized to capture the temporal dynamics of the news concepts and their relationships which facilitates the development of many time-aware news analytics applications. Existing works on news data analytics have mostly dealt with news articles, but none of them has talked about the usefulness of news headlines in news data analytics research. In this paper, we analyze the potentiality of news headlines in inferring interesting facts of the news world. We show how news headlines can help us to capture the temporal dynamics of the news concepts and their relationships. We introduce the notion of Time-aware News Concept Graph to capture the said temporal dynamics and show how it opens the doorway of developing numerous interesting news analytics applications. The results of our analysis conform to the facts of the reality and advocate for the success of our effort.","PeriodicalId":358827,"journal":{"name":"Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014 - I-CARE 2014","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014 - I-CARE 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2662117.2662121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
News headlines represent the key idea of news articles published in online news media and act as a great resource for discovering news concepts and their relationships. Moreover, the temporal information associated with the news headlines can be utilized to capture the temporal dynamics of the news concepts and their relationships which facilitates the development of many time-aware news analytics applications. Existing works on news data analytics have mostly dealt with news articles, but none of them has talked about the usefulness of news headlines in news data analytics research. In this paper, we analyze the potentiality of news headlines in inferring interesting facts of the news world. We show how news headlines can help us to capture the temporal dynamics of the news concepts and their relationships. We introduce the notion of Time-aware News Concept Graph to capture the said temporal dynamics and show how it opens the doorway of developing numerous interesting news analytics applications. The results of our analysis conform to the facts of the reality and advocate for the success of our effort.
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