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grams word cloud representation
jmphillips
Member Posts: 18 
Contributor II
Hello: My rapidminer model represent in R wordclouds, but represent 1 gram, 2 grams, etc.
The question is: can I, only represent in a wordcloud 2 grams, how to filter, exclude 1 grams.
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jmphillips
Member Posts: 18 Contributor II
<?xml version="1.0" encoding="UTF-8"?><process version="9.3.001"><context><input/><output/><macros/></context><operator activated="true" class="process" compatibility="6.0.002" 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="loop_files" compatibility="9.3.001" expanded="true" height="103" name="Loop Files" width="90" x="112" y="34"><parameter key="directory" value="C:\CENDOC\input\txt"/><parameter key="filtered_string" value="file name (last part of the path)"/><parameter key="file_name_macro" value="file_name_TEST"/><parameter key="file_path_macro" value="file_path"/><parameter key="parent_path_macro" value="parent_path"/><parameter key="recursive" value="false"/><parameter key="iterate_over_files" value="true"/><parameter key="iterate_over_subdirs" value="false"/><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="30"><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="UTF-8"/></operator><operator activated="true" class="text:process_documents" compatibility="8.2.000" expanded="true" height="103" name="Process Documents" width="90" x="246" y="34"><parameter key="create_word_vector" value="false"/><parameter key="vector_creation" value="TF-IDF"/><parameter key="add_meta_information" value="true"/><parameter key="keep_text" value="true"/><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="5.0"/><parameter key="prune_above_rank" value="5.0"/><parameter key="datamanagement" value="double_sparse_array"/><parameter key="data_management" value="auto"/><process expanded="true"><operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="45" y="85"><parameter key="mode" value="non letters"/><parameter key="characters" value=".:"/><parameter key="language" value="English"/><parameter key="max_token_length" value="3"/></operator><operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases" width="90" x="179" y="85"><parameter key="transform_to" value="upper case"/></operator><operator activated="true" class="text:filter_stopwords_dictionary" compatibility="8.2.000" expanded="true" height="82" name="Filter Stopwords (Dictionary)" width="90" x="313" y="85"><parameter key="file" value="C:\Users\jphillips\Downloads\sw.txt"/><parameter key="case_sensitive" value="false"/><parameter key="encoding" value="UTF-8"/></operator><operator activated="true" class="text:filter_by_length" compatibility="8.2.000" expanded="true" height="68" name="Filter Tokens (by Length)" width="90" x="514" y="85"><parameter key="min_chars" value="4"/><parameter key="max_chars" value="25"/></operator><operator activated="true" class="text:generate_n_grams_terms" compatibility="8.2.000" expanded="true" height="68" name="Generate n-Grams (Terms)" width="90" x="715" y="136"><parameter key="max_length" value="3"/></operator><connect from_port="document" to_op="Tokenize" to_port="document"/><connect from_op="Tokenize" from_port="document" to_op="Transform Cases" to_port="document"/><connect from_op="Transform Cases" from_port="document" to_op="Filter Stopwords (Dictionary)" to_port="document"/><connect from_op="Filter Stopwords (Dictionary)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/><connect from_op="Filter Tokens (by Length)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/><connect from_op="Generate n-Grams (Terms)" 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="true" class="text:wordlist_to_data" compatibility="8.2.000" expanded="true" height="82" name="WordList to Data" width="90" x="447" y="34"/><operator activated="true" class="multiply" compatibility="9.3.001" expanded="true" height="103" name="Multiply" width="90" x="581" y="34"/><operator activated="true" class="r_scripting:execute_r" compatibility="9.1.000" expanded="true" height="103" name="Execute R" width="90" x="782" y="187"><parameter key="script" value="# rm_main is a mandatory function, # the number of arguments has to be the number of input ports (can be none) rm_main = function(data) { 	library("wordcloud") 	library("RColorBrewer") 	Encoding(data$word) <- "UTF-8" 	 	png("C:\\CENDOC\\output\\WordClouds\\%{file_name_TEST}_word_list.png", width=1280,height=800) 	wordcloud(words = data$word, freq = data$total, min.freq = 1, max.words=100, lang= "spanish", random.order=FALSE, rot.per=0.35, colors=brewer.pal(8, "Dark2")) 	dev.off() 	 	return (data) } "/></operator><operator activated="true" class="write_excel" compatibility="9.2.001" expanded="true" height="103" name="Write Excel" width="90" x="782" y="34"><parameter key="excel_file" value="C:\CENDOC\output\Excel\%{file_name_TEST}_word_list.xlsx"/><parameter key="file_format" value="xlsx"/><enumeration key="sheet_names"/><parameter key="sheet_name" value="RapidMiner Data"/><parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/><parameter key="number_format" value="#.0"/><parameter key="encoding" value="SYSTEM"/></operator><connect from_port="file object" to_op="Read Document" to_port="file"/><connect from_op="Read Document" from_port="output" to_op="Process Documents" to_port="documents 1"/><connect from_op="Process Documents" from_port="word list" to_op="WordList to Data" to_port="word list"/><connect from_op="WordList to Data" from_port="example set" to_op="Multiply" to_port="input"/><connect from_op="Multiply" from_port="output 1" to_op="Write Excel" to_port="input"/><connect from_op="Multiply" from_port="output 2" to_op="Execute R" to_port="input 1"/><connect from_op="Execute R" from_port="output 1" to_port="out 2"/><connect from_op="Write Excel" from_port="through" to_port="out 1"/><portSpacing port="source_file object" spacing="0"/><portSpacing port="source_in 1" spacing="0"/><portSpacing port="sink_out 1" spacing="0"/><portSpacing port="sink_out 2" spacing="0"/><portSpacing port="sink_out 3" spacing="0"/></process></operator><operator activated="false" class="append" compatibility="9.3.001" expanded="true" height="68" name="Append" width="90" x="313" y="340"><parameter key="datamanagement" value="double_array"/><parameter key="data_management" value="auto"/><parameter key="merge_type" value="all"/></operator><connect from_op="Loop Files" from_port="out 1" 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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