Constructing a Public Meeting Corpus
In this paper, we propose a full pipeline of analysis of a large corpus about a century of public meeting in historical Australian news papers, from construction to visual exploration. The corpus construction method is based on image processing and OCR. We digitize and transcribe texts of the specific topic of public meeting. Experiments show that our proposed method achieves a F-score of 87.8{\%} for corpus construction. As a result, we built a content search tool for temporal and semantic content analysis.
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