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Extract all Uppercase words from document into new attributes

HyperrickHyperrick Member Posts: 17 Contributor I
edited October 14 in Help
Hello RM forum,

I'd like to extract all matches from an example set to a new attribute or even to multiple new attributes.

Example text:
We love DOGS. But CATS are cooler than BROWN FOXES.
This is my RegEx which finds all occurences (operator "generate extract":



The Problem is, that it will only generate the first match as a new attribute:



I want to get a new attribute containing all matches like:

test
DOGS;CATS;BROWN;FOXES

<?xml version="1.0" encoding="UTF-8"?><process version="9.7.002">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.7.002" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="utility:create_exampleset" compatibility="9.7.002" expanded="true" height="68" name="Create ExampleSet" width="90" x="246" y="238">
        <parameter key="generator_type" value="comma separated text"/>
        <parameter key="number_of_examples" value="100"/>
        <parameter key="use_stepsize" value="false"/>
        <list key="function_descriptions"/>
        <parameter key="add_id_attribute" value="false"/>
        <list key="numeric_series_configuration"/>
        <list key="date_series_configuration"/>
        <list key="date_series_configuration (interval)"/>
        <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>
        <parameter key="time_zone" value="SYSTEM"/>
        <parameter key="input_csv_text" value="text&#10;We love DOGS. But CATS are cooler than BROWN FOXES."/>
        <parameter key="column_separator" value=","/>
        <parameter key="parse_all_as_nominal" value="false"/>
        <parameter key="decimal_point_character" value="."/>
        <parameter key="trim_attribute_names" value="true"/>
      </operator>
      <operator activated="true" class="text:generate_extract" compatibility="9.3.001" expanded="true" height="68" name="Generate Extract" width="90" x="447" y="238">
        <parameter key="source_attribute" value="text"/>
        <parameter key="query_type" value="Regular Expression"/>
        <list key="string_machting_queries"/>
        <parameter key="attribute_type" value="Nominal"/>
        <list key="regular_expression_queries">
          <parameter key="test" value="[A-Z]{1}[A-Z]{3,}"/>
        </list>
        <list key="regular_region_queries"/>
        <list key="xpath_queries"/>
        <list key="namespaces"/>
        <parameter key="ignore_CDATA" value="true"/>
        <parameter key="assume_html" value="true"/>
        <list key="index_queries"/>
        <list key="jsonpath_queries"/>
      </operator>
      <connect from_op="Create ExampleSet" from_port="output" to_op="Generate Extract" to_port="Example Set"/>
      <connect from_op="Generate Extract" from_port="Example Set" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>

Is there a way to do this in Rapidminer?

Kind regards,

Patrick

Best Answer

Answers

  • HyperrickHyperrick Member Posts: 17 Contributor I
    Hi Marco. Thank you for your approach. That is a good way, I'll try this one!

    Patrick
  • JEdwardJEdward RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 571   Unicorn
    @Hyperrick
    I would take a different approach to Marco, should achieve a similar result, but puts all the upper case words into a single attribute.  
    Try this one out and see what you think. 

    <?xml version="1.0" encoding="UTF-8"?><process version="9.7.002">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="proccan be separated ess" compatibility="9.7.002" expanded="true" name="Process">
        <parameter key="logverbosity" value="init"/>
        <parameter key="random_seed" value="2001"/>
        <parameter key="send_mail" value="never"/>
        <parameter key="notification_email" value=""/>
        <parameter key="process_duration_for_mail" value="30"/>
        <parameter key="encoding" value="SYSTEM"/>
        <process expanded="true">
          <operator activated="true" class="utility:create_exampleset" compatibility="9.7.002" expanded="true" height="68" name="Create ExampleSet" width="90" x="112" y="34">
            <parameter key="generator_type" value="comma separated text"/>
            <parameter key="number_of_examples" value="100"/>
            <parameter key="use_stepsize" value="false"/>
            <list key="function_descriptions"/>
            <parameter key="add_id_attribute" value="false"/>
            <list key="numeric_series_configuration"/>
            <list key="date_series_configuration"/>
            <list key="date_series_configuration (interval)"/>
            <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>
            <parameter key="time_zone" value="SYSTEM"/>
            <parameter key="input_csv_text" value="text&#10;We love DOGS. But CATS are cooler than BROWN FOXES.&#10;They are QUICK but we are QUICKER. "/>
            <parameter key="column_separator" value=","/>
            <parameter key="parse_all_as_nominal" value="false"/>
            <parameter key="decimal_point_character" value="."/>
            <parameter key="trim_attribute_names" value="true"/>
          </operator>
          <operator activated="true" class="nominal_to_text" compatibility="9.7.002" expanded="true" height="82" name="Nominal to Text" width="90" x="246" y="34">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="text"/>
            <parameter key="attributes" value=""/>
            <parameter key="use_except_expression" value="false"/>
            <parameter key="value_type" value="nominal"/>
            <parameter key="use_value_type_exception" value="false"/>
            <parameter key="except_value_type" value="file_path"/>
            <parameter key="block_type" value="single_value"/>
            <parameter key="use_block_type_exception" value="false"/>
            <parameter key="except_block_type" value="single_value"/>
            <parameter key="invert_selection" value="false"/>
            <parameter key="include_special_attributes" value="false"/>
          </operator>
          <operator activated="true" class="text:data_to_documents" compatibility="9.3.001" expanded="true" height="68" name="Data to Documents" width="90" x="380" y="34">
            <parameter key="select_attributes_and_weights" value="false"/>
            <list key="specify_weights"/>
            <description align="center" color="transparent" colored="false" width="126">Turn each record into a collection of documents.</description>
          </operator>
          <operator activated="true" class="loop_collection" compatibility="9.7.002" expanded="true" height="103" name="Loop Collection" width="90" x="514" y="34">
            <parameter key="set_iteration_macro" value="true"/>
            <parameter key="macro_name" value="iteration"/>
            <parameter key="macro_start_value" value="1"/>
            <parameter key="unfold" value="false"/>
            <process expanded="true">
              <operator activated="true" class="text:tokenize" compatibility="9.3.001" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34">
                <parameter key="mode" value="non letters"/>
                <parameter key="characters" value=".:"/>
                <parameter key="language" value="English"/>
                <parameter key="max_token_length" value="3"/>
                <description align="center" color="transparent" colored="false" width="126">Use whatever tokenisation pattern suits your document.</description>
              </operator>
              <operator activated="true" class="converters:extract_tokens" compatibility="0.7.000" expanded="true" height="103" name="Extract Tokens" width="90" x="246" y="34">
                <description align="center" color="transparent" colored="false" width="126">Take the tokens and turn them into an example set.</description>
              </operator>
              <operator activated="true" class="text:documents_to_data" compatibility="9.3.001" expanded="true" height="82" name="Documents to Data" width="90" x="514" y="238">
                <parameter key="text_attribute" value="text"/>
                <parameter key="add_meta_information" value="true"/>
                <parameter key="datamanagement" value="double_sparse_array"/>
                <parameter key="data_management" value="auto"/>
                <parameter key="use_processed_text" value="false"/>
                <description align="center" color="transparent" colored="false" width="126">Turn the document back into data.</description>
              </operator>
              <operator activated="true" class="generate_attributes" compatibility="9.7.002" expanded="true" height="82" name="Generate Attributes" width="90" x="916" y="187">
                <list key="function_descriptions">
                  <parameter key="_JOINID" value="%{iteration}"/>
                </list>
                <parameter key="keep_all" value="true"/>
                <description align="center" color="transparent" colored="false" width="126">Add a join ID</description>
              </operator>
              <operator activated="true" class="filter_examples" compatibility="9.7.002" expanded="true" height="103" name="Filter Examples" width="90" x="514" y="34">
                <parameter key="parameter_expression" value=""/>
                <parameter key="condition_class" value="custom_filters"/>
                <parameter key="invert_filter" value="false"/>
                <list key="filters_list">
                  <parameter key="filters_entry_key" value="Token.matches.[A-Z]*"/>
                </list>
                <parameter key="filters_logic_and" value="true"/>
                <parameter key="filters_check_metadata" value="true"/>
                <description align="center" color="transparent" colored="false" width="126">Keep only the UPPER CASE tokens.</description>
              </operator>
              <operator activated="true" class="aggregate" compatibility="9.7.002" expanded="true" height="82" name="Aggregate" width="90" x="648" y="34">
                <parameter key="use_default_aggregation" value="false"/>
                <parameter key="attribute_filter_type" value="all"/>
                <parameter key="attribute" value=""/>
                <parameter key="attributes" value=""/>
                <parameter key="use_except_expression" value="false"/>
                <parameter key="value_type" value="attribute_value"/>
                <parameter key="use_value_type_exception" value="false"/>
                <parameter key="except_value_type" value="time"/>
                <parameter key="block_type" value="attribute_block"/>
                <parameter key="use_block_type_exception" value="false"/>
                <parameter key="except_block_type" value="value_matrix_row_start"/>
                <parameter key="invert_selection" value="false"/>
                <parameter key="include_special_attributes" value="false"/>
                <parameter key="default_aggregation_function" value="average"/>
                <list key="aggregation_attributes">
                  <parameter key="Token" value="concatenation"/>
                </list>
                <parameter key="group_by_attributes" value=""/>
                <parameter key="count_all_combinations" value="false"/>
                <parameter key="only_distinct" value="false"/>
                <parameter key="ignore_missings" value="true"/>
                <description align="center" color="transparent" colored="false" width="126">This aggregates the tokens into one record.</description>
              </operator>
              <operator activated="true" class="generate_attributes" compatibility="9.7.002" expanded="true" height="82" name="Generate Attributes (2)" width="90" x="782" y="34">
                <list key="function_descriptions">
                  <parameter key="_JOINID" value="%{iteration}"/>
                </list>
                <parameter key="keep_all" value="true"/>
                <description align="center" color="transparent" colored="false" width="126">Add a join ID</description>
              </operator>
              <operator activated="true" class="rename" compatibility="9.7.002" expanded="true" height="82" name="Rename" width="90" x="916" y="34">
                <parameter key="old_name" value="concat(Token)"/>
                <parameter key="new_name" value="Token"/>
                <list key="rename_additional_attributes"/>
              </operator>
              <connect from_port="single" to_op="Tokenize" to_port="document"/>
              <connect from_op="Tokenize" from_port="document" to_op="Extract Tokens" to_port="doc"/>
              <connect from_op="Extract Tokens" from_port="exa" to_op="Filter Examples" to_port="example set input"/>
              <connect from_op="Extract Tokens" from_port="ori" to_op="Documents to Data" to_port="documents 1"/>
              <connect from_op="Documents to Data" from_port="example set" to_op="Generate Attributes" to_port="example set input"/>
              <connect from_op="Generate Attributes" from_port="example set output" to_port="output 2"/>
              <connect from_op="Filter Examples" from_port="example set output" to_op="Aggregate" to_port="example set input"/>
              <connect from_op="Aggregate" from_port="example set output" to_op="Generate Attributes (2)" to_port="example set input"/>
              <connect from_op="Generate Attributes (2)" from_port="example set output" to_op="Rename" to_port="example set input"/>
              <connect from_op="Rename" from_port="example set output" to_port="output 1"/>
              <portSpacing port="source_single" spacing="0"/>
              <portSpacing port="sink_output 1" spacing="0"/>
              <portSpacing port="sink_output 2" spacing="0"/>
              <portSpacing port="sink_output 3" spacing="0"/>
            </process>
            <description align="center" color="transparent" colored="false" width="126">Set an iteration macro which is used later as a Join key.</description>
          </operator>
          <operator activated="true" class="append" compatibility="9.7.002" expanded="true" height="82" name="Append (2)" width="90" x="648" y="136">
            <parameter key="datamanagement" value="double_array"/>
            <parameter key="data_management" value="auto"/>
            <parameter key="merge_type" value="all"/>
          </operator>
          <operator activated="true" class="append" compatibility="9.7.002" expanded="true" height="82" name="Append" width="90" x="648" y="34">
            <parameter key="datamanagement" value="double_array"/>
            <parameter key="data_management" value="auto"/>
            <parameter key="merge_type" value="all"/>
          </operator>
          <operator activated="true" class="concurrency:join" compatibility="9.7.002" expanded="true" height="82" name="Join" width="90" x="782" y="34">
            <parameter key="remove_double_attributes" value="true"/>
            <parameter key="join_type" value="inner"/>
            <parameter key="use_id_attribute_as_key" value="false"/>
            <list key="key_attributes">
              <parameter key="_JOINID" value="_JOINID"/>
            </list>
            <parameter key="keep_both_join_attributes" value="false"/>
            <description align="center" color="transparent" colored="false" width="126">Join the datasets together using the Join ID</description>
          </operator>
          <connect from_op="Create ExampleSet" from_port="output" to_op="Nominal to Text" to_port="example set input"/>
          <connect from_op="Nominal to Text" from_port="example set output" to_op="Data to Documents" to_port="example set"/>
          <connect from_op="Data to Documents" from_port="documents" to_op="Loop Collection" to_port="collection"/>
          <connect from_op="Loop Collection" from_port="output 1" to_op="Append" to_port="example set 1"/>
          <connect from_op="Loop Collection" from_port="output 2" to_op="Append (2)" to_port="example set 1"/>
          <connect from_op="Append (2)" from_port="merged set" to_op="Join" to_port="right"/>
          <connect from_op="Append" from_port="merged set" to_op="Join" to_port="left"/>
          <connect from_op="Join" from_port="join" to_port="result 1"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
          <portSpacing port="sink_result 2" spacing="0"/>
        </process>
      </operator>
    </process>
    


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