Tokenize text from dataset

greg_lorincz79

I'm trying to tokenize text in a dataset but the 'Tokenize' node complains about the wrong data type. The dataset is a JSON file converted into data, transposed and filtered and finally ran through a 'data to documents' node yet the tokenize module complains 'Expected document but received IOObjectCollection. What am I missing? 

<?xml version="1.0" encoding="UTF-8"?><process version="9.8.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.8.001" 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:read_document" compatibility="8.2.000" expanded="true" height="68" name="Read Document" width="90" x="45" y="34">
        <parameter key="file" value="/Users/alkopop79/Downloads/facebook-greglorincz_JSON_2021_march_8/messages/inbox/peterkeszthelyi_ilkoxu6ymg/message_1.json"/>
        <parameter key="extract_text_only" value="true"/>
        <parameter key="use_file_extension_as_type" value="true"/>
        <parameter key="content_type" value="txt"/>
        <parameter key="encoding" value="SYSTEM"/>
      </operator>
      <operator activated="true" class="text:json_to_data" compatibility="8.2.000" expanded="true" height="82" name="JSON To Data" width="90" x="179" y="34">
        <parameter key="ignore_arrays" value="false"/>
        <parameter key="limit_attributes" value="false"/>
        <parameter key="skip_invalid_documents" value="false"/>
        <parameter key="guess_data_types" value="true"/>
        <parameter key="keep_missing_attributes" value="false"/>
        <parameter key="missing_values_aliases" value=", null, NaN, missing"/>
      </operator>
      <operator activated="true" class="transpose" compatibility="9.8.001" expanded="true" height="82" name="Transpose" width="90" x="313" y="34"/>
      <operator activated="true" class="filter_examples" compatibility="9.8.001" expanded="true" height="103" name="Filter Examples" width="90" x="447" 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="id.contains.content"/>
        </list>
        <parameter key="filters_logic_and" value="true"/>
        <parameter key="filters_check_metadata" value="true"/>
      </operator>
      <operator activated="true" class="text:data_to_documents" compatibility="8.2.000" expanded="true" height="68" name="Data to Documents" width="90" x="581" y="34">
        <parameter key="select_attributes_and_weights" value="false"/>
        <list key="specify_weights"/>
      </operator>
      <operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="715" y="34">
        <parameter key="mode" value="non letters"/>
        <parameter key="characters" value=".:"/>
        <parameter key="language" value="English"/>
        <parameter key="max_token_length" value="3"/>
      </operator>
      <connect from_op="Read Document" from_port="output" to_op="JSON To Data" to_port="documents 1"/>
      <connect from_op="JSON To Data" from_port="example set" to_op="Transpose" to_port="example set input"/>
      <connect from_op="Transpose" from_port="example set output" to_op="Filter Examples" to_port="example set input"/>
      <connect from_op="Filter Examples" 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="Tokenize" to_port="document"/>
      <connect from_op="Tokenize" from_port="document" 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>

Marco_Barradas

Hi @greg_lorincz79 you need to use a Process Documents and inside it you'll put the Tokenize.  Or you could replace the  Data to Documents operator and use a Process Documents from Data.

MartinLiebig

Sometimes you want to use loop collection and put the tokenize inside.

Marco_Barradas

Hi @greg_lorincz79 you need to use a Process Documents and inside it you'll put the Tokenize.  Or you could replace the  Data to Documents operator and use a Process Documents from Data.

MartinLiebig

Sometimes you want to use loop collection and put the tokenize inside.

greg_lorincz79

Excellent, thank you!

greg_lorincz79

I got 'wrong connection' error. What am I doing wrong?

greg_lorincz79

Figured it out: the 'Data to Documents' operator does the magic. However the 'Tokenize' operator split out full sentences, even though it was set to split the text using a whitespace ('\s' with regex mode). 

kayman

You connected to the word port, where you should have used the document port.