Approach for Extracting Thematic Terms Based on Association Rules

Thematic terms extraction is one of the hot topics in the field of information retrieval, and in tight relationship with a variety of data mining tasks. This paper presents an approach for extracting thematic terms based on association rules, which include both keyphrases and related terms. Based on keyphrase extraction, related terms could be used in extended search and related information retrieval, as well as providing users with a better understanding of the topic. Experimental results show that the method is effective in extracting both keyphrases and related terms.