{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:25:56Z","timestamp":1740115556892,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>A large number of news articles are published on the Web every day, and demand of discovering news articles on new\/important topics has been growing. In this paper, we present a method for detecting characteristic words co-occurring with a target word (characteristic co-occurrence words) to help users find important topics related to the target word. The method divides news articles published in a certain period of time into two groups by whether the target word is included or not, then computes score of each word co-occurring with the target word in some news articles by counting the number of news articles including the co-occurring word for each of the news article groups. We can detect characteristic co-occurrence words more effectively by clustering news articles in advance and computing the score only in clusters which news articles including the target word belong to.<\/jats:p>","DOI":"10.3233\/978-1-60750-992-9-187","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":0,"title":["Detection of Characteristic Co-Occurrence Words from News Articles on the Web"],"prefix":"10.3233","author":[{"family":"Xiao Feng","sequence":"additional","affiliation":[]},{"family":"Noro Tomoya","sequence":"additional","affiliation":[]},{"family":"Tokuda Takehiro","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXIII"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:55:30Z","timestamp":1740056130000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=237&spage=187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-992-9-187","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2012]]}}}