Clustering similar nouns for selecting related news articles
Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguchi · 2004
In both written language and spoken language, we sometimes use different words in order to express the same meaning. For instance, we use “candidacy” and “running in an election” as the same meaning. This makes text classification and event tracking difficult. To do this, we have to identify the words which are semantically similar to each other accurately. In this paper, we propose a method to extract the words which are semantically similar to other words. Using the method, we extracted similar word pairs on newspaper articles. Further, we extracted news articles which are related to a news article. By using a similar word pair list, we obtained better result than that without it. The results suggest that the method is useful for extracting related document, text tracking and so on.