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OK, found the extension, sorry. It works for 1 row fine, thanks Marco. Could it be multiplied?
I've a table that has 1000+ rows and all contains a letter sequence like the one that posted above. I would like to count the letters in each one by one. But with the posted solution it only works for 1 row or if I enter all the 1000+ via 'create document' it only counts the letters together in all rows...
I've a table that has 1000+ rows and all contains a letter sequence like the one that posted above. I would like to count the letters in each one by one. But with the posted solution it only works for 1 row or if I enter all the 1000+ via 'create document' it only counts the letters together in all rows...
Altair EmployeeHI @BDk
You'll need to use a Process Documents or Process Documents from Data or Files it depends on how your data was originally collected.
You'll need to use a Process Documents or Process Documents from Data or Files it depends on how your data was originally collected.
You can use a Process Documents and split the tokens and specify count occurrences
<?xml version="1.0" encoding="UTF-8"?><process version="9.10.011"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.10.011" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="-1"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="UTF-8"/> <process expanded="true"> <operator activated="true" class="text:create_document" compatibility="9.4.000" expanded="true" height="68" name="Create Document" width="90" x="112" y="34"> <parameter key="text" value="GGGAATCGTCA"/> <parameter key="add label" value="false"/> <parameter key="label_type" value="nominal"/> </operator> <operator activated="true" class="text:process_documents" compatibility="9.4.000" expanded="true" height="103" name="Process Documents" width="90" x="246" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="Term Occurrences"/> <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="9.4.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34"> <parameter key="mode" value="regular expression"/> <parameter key="characters" value=".:"/> <parameter key="expression" value="|"/> <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>