2:40 PM - 3:00 PM
[1P2-J-13-05] Automatic Summarization of Analyst Reports Based on Causal Relationships from News Articles
Keywords:Text Mining, Extraction Causal Relationship, Representation Similarity
In this paper, we focused on the causal relationships in both of news articles and analyst reports. We proposed
a novel approach for summarizing analyst reports automatically based on the causal relationships extracted from
both text data. As a rst step toward summarization of analyst reports adequately, we analyzed the validity of
the method in extracting causal relationships which can be evaluated from the analyst reports. As a result, the
proposed method could extract basis information of analyst's opinions from analyst reports with some accuracy,
and we could conrm the styles of analysts in expression of opinions and bases.
a novel approach for summarizing analyst reports automatically based on the causal relationships extracted from
both text data. As a rst step toward summarization of analyst reports adequately, we analyzed the validity of
the method in extracting causal relationships which can be evaluated from the analyst reports. As a result, the
proposed method could extract basis information of analyst's opinions from analyst reports with some accuracy,
and we could conrm the styles of analysts in expression of opinions and bases.