Hyperion Planning - extract text from Planning

We have an account with the following properties:
Account Type: SavedAssumption
Data Type: Text
We need to extract the text that is captured on the account. The data form we created works but is to big for SmartView and extracting it with Ad-hock Analysis or Essbase add-in just display data values.
Any suggestions on how to get the text out?

which version of planning you are working on.
if you are on 11.1.2.1 then you can do that using Smartview
-you have to connect to Planning using smrtview planning provider and it has a new feature of Planning Adhoc which will help you to pull the Text data in Excel
-Kp

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    Hello Debadrita,
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  • Can I extract metadata from planning or only from essbase?

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  • How to extract text from a PDF file?

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        private void jButton1_actionPerformed(ActionEvent e) {
            PdfReader read;
            StringBuffer buff=new StringBuffer();
            try {
                read = new PdfReader("d:/getjobid2727.pdf");
                read.getMetaData();
                byte[] data=read.getPageContent(1);
                int i=0;
                while(i>-1){ 
                    buff.append(data);
    i++;
    String str=buff.toString();
    FileOutputStream fos = new FileOutputStream("D:/test.txt");
    Writer out = new OutputStreamWriter(fos, "UTF8");
    out.write(str);
    out.close();
    read.close();
    } catch (Exception f) {
    f.printStackTrace();
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    is my steps right?                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       

  • How to extract text from a PDF file using php?

    How to extract text from a PDF file using php?
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    > Do you know of any other way this can be done?
    There are many ways. But this out of scope of this forum. You can try this forum: http://forum.planetpdf.com/

  • How to read/extract text from pdf

    Respected All,
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  • Problem to extract text from HTML document

    I have to extract some text from HTML file to my database. (about 1000 files)
    The HTML files are get from ACM Digital Library. http://portal.acm.org/dl.cfm
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    The section code about "Classification" is below.
    Please give any idea to do this, or how to find patten to extract text from this.
    <div class="indterms"><a href="#CIT"><img name="top" src=
    "img/arrowu.gif" hspace="10" border="0" /></a><span class=
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    <p class="Categories"><span class="heading"><a name=
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    � <b>F.</b> <a href=
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    target="_self">Theory of Computation</a><br />
    � <img src="img/tree.gif" border="0" height="20" width=
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    "results.cfm?query=CCS%3A%22F%2E2%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
    target="_self">ANALYSIS OF ALGORITHMS AND PROBLEM
    COMPLEXITY</a><br />
    � � � <img src="img/tree.gif" border="0" height=
    "20" width="20" /> <b>F.2.1</b> <a href=
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    </p>
    <p class="Categories"><span class="heading"><a name=
    "GenTerms">Additional�Classification:</a></span><br />
    � <b>G.</b> <a href=
    "results.cfm?query=CCS%3AG%2E%2A&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
    target="_self">Mathematics of Computing</a><br />
    � <img src="img/tree.gif" border="0" height="20" width=
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    target="_self">Optimization</a><br />
    � � � � � <img src="img/tree.gif" border=
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    <p class="GenTerms"><span class="heading"><a name=
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    <a href=
    "results.cfm?query=genterm%3A%22Algorithms%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
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    "results.cfm?query=genterm%3A%22Theory%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
    target="_self">Theory</a></p>
    <br />
    <p class="keywords"><span class="heading"><a name=
    "Keywords">Keywords:</a></span><br />
    <a href=
    "results.cfm?query=keyword%3A%22Simplex%20method%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
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    "results.cfm?query=keyword%3A%22complexity%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
    target="_self">complexity</a>, <a href=
    "results.cfm?query=keyword%3A%22perturbation%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
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    "results.cfm?query=keyword%3A%22smoothed%20analysis%22&coll=ACM&dl=ACM&CFID=22820732&CFTOKEN=38147335"
    target="_self">smoothed analysis</a></p>
    </div>

    One approach is to download Htmlparser from sourceforge
    http://htmlparser.sourceforge.net/ and write the rules to match title, abstract etc.
    Another approach is to write your own parser that extract only title, abstract etc.
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    find out about the pattern of text you want to extract. For instance "<class "abstract">.
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    if (tag is abstract ) then extract abstract text
    apply the same concept for other tags
    Attached is the sample parser that was used to extract title and abstract from acm html files. Please modify to include keyword and other fields.
    good luck
    import java.io.BufferedReader;
    import java.io.FileReader;
    import java.io.IOException;
    import java.io.InputStream;
    import java.io.InputStreamReader;
    import java.util.ArrayList;
    import java.util.List;
    public class ACMHTMLParser
         private String m_filename;
         private URLLexicalAnalyzer lexical;
         List urls = new ArrayList();
         public ACMHTMLParser(String filename)
              super();
              m_filename = filename;
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         public void parse() throws Exception
              lexical = new URLLexicalAnalyzer(m_filename);
              String word = lexical.getNextWord();
              boolean isabstract = false;
              while (null != word)
                   if (isTag(word))
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                             System.out.println("TITLE: " + lexical.getNextWord());
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                             parseAbstract();
                             isabstract = true;
                   word = lexical.getNextWord();
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         public static void main(String[] args) throws Exception
              ACMHTMLParser parser = new ACMHTMLParser("./acm_html.html");
              parser.parse();
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              return ( word.startsWith("<") && word.endsWith(">"));
         public static boolean isTitle(String word)
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              result.append((char)ch);
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                   result.append((char)ch);
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  • Extract Text from pdf using C#

    Hi,
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  • Extract text from pdf

    Hi, is it possible to extract text from a pdf file using the command line to get an output like you would get by using the File menu and then 'Save as text..."?
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  • How do I extract text from an email?

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  • Extract text from Powerpoint

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