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https://issues.apache.org/jira/browse/PDFBOX-5613?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tilman Hausherr updated PDFBOX-5613:
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    Summary: incorrect paragraph split  (was: uncorrent paragraph split)

> incorrect paragraph split
> -------------------------
>
>                 Key: PDFBOX-5613
>                 URL: https://issues.apache.org/jira/browse/PDFBOX-5613
>             Project: PDFBox
>          Issue Type: Improvement
>          Components: Text extraction
>    Affects Versions: 2.0.1, 2.0.28
>            Reporter: Key Hutu
>            Priority: Major
>         Attachments: Daily Report.pdf
>
>
> when i use pdfbox to extract paragraph text, i get an uncorrent paragraph info
> {code}
> public class PDFParagraphTextStripper extends PDFTextStripper {
>      public PDFParagraphTextStripper() throws IOException{
>          this.setLineSeparator(" ");
>          this.setParagraphStart("");
>          this.setParagraphEnd(this.LINE_SEPARATOR);
>          this.setPageStart("");
>          this.setPageEnd("");
>          this.setArticleStart(this.LINE_SEPARATOR);
>          this.setArticleEnd(this.LINE_SEPARATOR);
>       }
> }
> public class PdfParser {
>     private static final String dataPath = 
> "D:\\IdeaProject\\PdfParser\\PdfParser\\data";
>     public static void main(String[] args) {
>          String fileName = "Daily Report.pdf";
>          try{
>               extract_pdfbox(dataPath + fileName);
>          }
>          catch (Exception e) { 
>             e.printStackTrace(); 
>         }
>       }
>      private static void extract_pdfbox(String filePath) throws Exception{
>           File file = new File(filePath);
>           PDDocument document = PDDocument.load(file);
>           PDFTextStripper pdfTextStripper = new PDFParagraphTextStripper();
>           String text = pdfTextStripper.getText(document);
>           System.out.println(text);
>           document.close();
>      }
> }
> {code}
> {noformat}
> Daily Report 1) which language is your text in? - English 
> 2) some examples of sentences containing 
> addresses you'd want to pick up - Data are 
> contarct documents, it contains addresses in 
> different formates(of different 
> countries),some are comma saperated, some 
> are new line saperated etc 3) perhaps 
> examples of mistakes - currently en model 
> of SpaCy is even not able to tag entities 
> clearly 4) Are you training your own model 
> or are you using a model as is? - tried as it is 
> but very poor in results to need to know a 
> generic approach to train own model. any 
> {noformat}



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