Abstract | ||
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This paper presents an approach which performs a Style Analysis of Academic Writing in terms of formal voice, readability and scientific language. Our intention is an analysis of academic writing style as a feedback for the authors and editors. The extracted features of a document collection are used to create Self-Organizing Maps which are the interim results to generate reports in our Full Automatic Paper Analysis System (Fapas). To evaluate this method, the system has to solve different tasks to verify the informative value of the generated maps and reports. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-22327-3_30 | NLDB |
Keywords | Field | DocType |
style analysis,interim result,formal voice,academic writing style,document collection,scientific language,informative value,different task,full automatic paper analysis,self-organizing maps,text mining | Computer science,Style analysis,Readability,Academic writing,Scientific language,Natural language processing,Artificial intelligence,Interim | Conference |
Volume | ISSN | Citations |
6716 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Scholz | 1 | 32 | 4.18 |
Stefan Conrad | 2 | 168 | 105.91 |