Options
Extract all Uppercase words from document into new attributes
Contributor II
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:
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
Is there a way to do this in Rapidminer?
Kind regards,
Patrick
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 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
Tagged:
0
Best Answer
-
Options
MarcoBarradas
Administrator, Employee, RapidMiner Certified Analyst, Member Posts: 272 
Unicorn
@Hyperrick you could play with tokenization on the text minning extension
Its not the final result but it would give you an idea.<?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="text:create_document" compatibility="9.3.001" expanded="true" height="68" name="Create Document" width="90" x="179" y="136"> <parameter key="text" value="We love DOGS. But CATS are cooler than BROWN FOXES."/> <parameter key="add label" value="false"/> <parameter key="label_type" value="nominal"/> </operator> <operator activated="true" class="text:process_documents" compatibility="9.3.001" expanded="true" height="103" name="Process Documents" width="90" x="313" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="TF-IDF"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="false"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="9.3.001" expanded="true" height="68" name="Tokenize" width="90" x="313" y="34"> <parameter key="mode" value="regular expression"/> <parameter key="characters" value=".:"/> <parameter key="expression" value="[a-z]{1}[a-z]{3,}"/> <parameter key="language" value="English"/> <parameter key="max_token_length" value="3"/> </operator> <connect from_port="document" to_op="Tokenize" to_port="document"/> <connect from_op="Tokenize" 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="Create Document" from_port="output" to_op="Process Documents" to_port="documents 1"/> <connect from_op="Process Documents" 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>
5
Answers
Patrick
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 We love DOGS. But CATS are cooler than BROWN FOXES. 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>thanks for your response - unfortunately I can't import the process. I keep gettigng an error while importing:
Patrick