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Creating wordlists from PDFs via an URL
jan_spoerer
Member Posts: 10 
Contributor II
I would like to create a wordlist (for applying a machine learning model that was specified before) with a PDF as a source. This usually works using the Process Documents operator. But I need to access the PDF via an URL. I thought about using the Web Mining extension for this.
The Get Pages operator does not work, it seems to only accept HTML as an input. The output from this operator is just a random string of "strange" characters so there seems to be a problem with the data format, i.e., with PDF.
The Process Documents from Web operator does not work at all. No wordlist can be created.
The Get Page operator also does not work because I cannot convert the PDF to a document. There seems to be no operator to do that. A PDF to Document operator would be great because then I could just use the Process Documents operator to create my wordlist.
Is there an operator that converts PDFs to documents? Is there an operator that creates a wordlist from a PDF that is accessed via an URL? Is there any other way to create wordlists from PDFs that are accessed via an URL?
You can find the code below. Thank you.
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="8.1.000" expanded="true" name="Process">
<process expanded="true">
<operator activated="false" class="web:process_web_modern" compatibility="7.3.000" expanded="true" height="68" name="Process Documents from Web" width="90" x="179" y="238">
<parameter key="url" value="https://db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf"/>
<list key="crawling_rules">
<parameter key="store_with_matching_url" value="https://www.db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf"/>
</list>
<parameter key="user_agent" value="useragent"/>
<parameter key="ignore_robot_exclusion" value="true"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize" width="90" x="45" y="34"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="8.1.000" expanded="true" height="68" name="Filter Stopwords (English)" width="90" x="179" y="34"/>
<operator activated="true" class="text:stem_porter" compatibility="8.1.000" expanded="true" height="68" name="Stem (Porter)" width="90" x="313" y="34"/>
<operator activated="true" class="text:transform_cases" compatibility="8.1.000" expanded="true" height="68" name="Transform Cases" width="90" x="447" y="34"/>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
<connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Porter)" to_port="document"/>
<connect from_op="Stem (Porter)" from_port="document" to_op="Transform Cases" to_port="document"/>
<connect from_op="Transform Cases" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="false" class="text:data_to_documents" compatibility="8.1.000" expanded="true" height="68" name="Data to Documents (2)" width="90" x="313" y="238">
<list key="specify_weights"/>
</operator>
<operator activated="false" class="text:process_documents" compatibility="8.1.000" expanded="true" height="103" name="Process Documents (3)" width="90" x="447" y="238">
<parameter key="keep_text" value="true"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize (4)" width="90" x="45" y="34"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="8.1.000" expanded="true" height="68" name="Filter Stopwords (3)" width="90" x="179" y="34"/>
<operator activated="true" class="text:stem_porter" compatibility="8.1.000" expanded="true" height="68" name="Stem (3)" width="90" x="313" y="34"/>
<operator activated="true" class="text:transform_cases" compatibility="8.1.000" expanded="true" height="68" name="Transform Cases (3)" width="90" x="447" y="34"/>
<connect from_port="document" to_op="Tokenize (4)" to_port="document"/>
<connect from_op="Tokenize (4)" from_port="document" to_op="Filter Stopwords (3)" to_port="document"/>
<connect from_op="Filter Stopwords (3)" from_port="document" to_op="Stem (3)" to_port="document"/>
<connect from_op="Stem (3)" from_port="document" to_op="Transform Cases (3)" to_port="document"/>
<connect from_op="Transform Cases (3)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="false" class="web:get_webpage" compatibility="7.3.000" expanded="true" height="68" name="Get Page" width="90" x="45" y="391">
<parameter key="url" value="https://www.db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf"/>
<list key="query_parameters"/>
<list key="request_properties"/>
</operator>
<operator activated="false" class="store" compatibility="8.1.000" expanded="true" height="68" name="Store" width="90" x="179" y="391">
<parameter key="repository_entry" value="../data/current_PDF/current_PDF"/>
</operator>
<operator activated="false" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize (2)" width="90" x="313" y="391"/>
<operator activated="false" class="generate_tfidf" compatibility="8.1.000" expanded="true" height="82" name="Generate TFIDF" width="90" x="447" y="391"/>
<operator activated="false" class="text:process_documents" compatibility="8.1.000" expanded="true" height="82" name="Process Documents" width="90" x="179" y="493">
<process expanded="true">
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
</process>
</operator>
<operator activated="true" class="operator_toolbox:create_exampleset_from_doc" compatibility="0.9.000" expanded="true" height="68" name="Create ExampleSet" width="90" x="45" y="34">
<parameter key="Input Csv" value="https://db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf https://db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf"/>
</operator>
<operator activated="true" class="web:retrieve_webpages" compatibility="7.3.000" expanded="true" height="68" name="Get Pages" width="90" x="179" y="34">
<parameter key="link_attribute" value="https://db.com/ir/en/download/Deutsche_Bank_Annual_Report_2016.pdf"/>
<parameter key="page_attribute" value="PDF"/>
</operator>
<operator activated="true" class="text:data_to_documents" compatibility="8.1.000" expanded="true" height="68" name="Data to Documents" width="90" x="313" y="34">
<list key="specify_weights"/>
</operator>
<operator activated="true" class="text:process_documents" compatibility="8.1.000" expanded="true" height="103" name="Process Documents (2)" width="90" x="447" y="34">
<parameter key="keep_text" value="true"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize (3)" width="90" x="45" y="34"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="8.1.000" expanded="true" height="68" name="Filter Stopwords (2)" width="90" x="179" y="34"/>
<operator activated="true" class="text:stem_porter" compatibility="8.1.000" expanded="true" height="68" name="Stem (2)" width="90" x="313" y="34"/>
<operator activated="true" class="text:transform_cases" compatibility="8.1.000" expanded="true" height="68" name="Transform Cases (2)" width="90" x="447" y="34"/>
<connect from_port="document" to_op="Tokenize (3)" to_port="document"/>
<connect from_op="Tokenize (3)" from_port="document" to_op="Filter Stopwords (2)" to_port="document"/>
<connect from_op="Filter Stopwords (2)" from_port="document" to_op="Stem (2)" to_port="document"/>
<connect from_op="Stem (2)" from_port="document" to_op="Transform Cases (2)" to_port="document"/>
<connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<connect from_op="Process Documents from Web" from_port="example set" to_op="Data to Documents (2)" to_port="example set"/>
<connect from_op="Data to Documents (2)" from_port="documents" to_op="Process Documents (3)" to_port="documents 1"/>
<connect from_op="Tokenize (2)" from_port="document" to_op="Generate TFIDF" to_port="example set input"/>
<connect from_op="Create ExampleSet" from_port="output" to_op="Get Pages" to_port="Example Set"/>
<connect from_op="Get Pages" from_port="Example Set" to_op="Data to Documents" to_port="example set"/>
<connect from_op="Data to Documents" from_port="documents" to_op="Process Documents (2)" to_port="documents 1"/>
<connect from_op="Process Documents (2)" from_port="example set" to_port="result 1"/>
<connect from_op="Process Documents (2)" from_port="word list" to_port="result 2"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
</process>
</operator>
</process>
Tagged:
0
Answers
@jan_spoerer There is a Read PDF Tables operator but normally the PDF's can be processed from file directories using Process Documents from Files operator. So you might have to download them first and put them in a directory. Maybe someone in the community has a neat hack on making this easier.
Hi @jan_spoerer,
you can use the Open File Operator to get a RM file object from an URL (select this option from the resource type parameter). You can iterate over your URLs with a Loop operator, read them as files and then use the Operator that @Thomas_Ott suggested.
If you have the URLs as a table/example set, you could for example use the Loop Values Operator.
Cheers
Jan
Thanks Thomas for that suggestion. Until now, we accessed the PDFs directly via the directory but this is exactly what we don't want to do from now on because we thought it may be easier to just generate an URL in our web app that RM can access. Yet, unfortunately, we may need to resort to downloading the PDF to the repository, as you said. But I will first try Jan's solution.
Thanks @jczogalla, I will try your suggestion and use the direct repository access (as suggested by @Thomas_Ott) as a fallback option. Will update you soon.
@Thomas_Ott @jczogalla
Just to be clear: The PDF is just normal text. No table extraction is wanted here.
One part of the problem is solved: Using the Open File operator, I can now download the PDF. As there seems to be no way to directly create a wordlist from that PDF, I stored it in the repository as suggested. Now I would like to use the Process Documents from Files operator to access the file in the directory but I cannot access the file as the process is on a RM Server and the downloaded PDF is stored in the server repository. When I click on the "text directories" parameter of the Process Documents from Files operator, the RM Server repository just does not show as an available directory.
So I'm stuck right at this step:
The file is downloaded and stored successfully but I cannot access it using the Process Documents from Files operator.
Is there a way to use the Process Documents from Files operator to access a file on the server repository?
You could store the files in a temp folder (with Write File Operator, e.g. to /tmp/RM/process_name/x) and then use that folder in Process Documents from Files. But you are right, it would be better if the Operator actually had an input port for files or could loop in the repository.
@jczogalla I think that's the more elegant solution, allowing an input port on the Read Documents from Files operator. So, when can we have it?