The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Revert Tokenized words back to sentences
Hello, I would like to ask. How do I change my tokenized words attribute back into my own text attribute in Excel file? I was doing tokenized words for correcting many mistakes in my text by using Stem (Dictionary) and many other operators within Process Documents from Data. The thing is that I can't find any operator that can export my fixed tokenized words to replace all faulty sentences in my excel file.
Is there a way to export it back into excel? but in this case is with my sentences, not tokenized one.
Here's my XML file:
I also attached my dataset "Pemilu 2024..." and my stemming file .txt.
Is there a way to export it back into excel? but in this case is with my sentences, not tokenized one.
Here's my XML file:
<?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="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="read_excel" compatibility="9.10.011" expanded="true" height="68" name="Read Excel" width="90" x="112" y="34"> <parameter key="excel_file" value="C:\Users\wille\Documents\Dataset Pemilu 2024 (New)\2. Preprocessing\Pemilu 2024 Final Res 2.xlsx"/> <parameter key="sheet_selection" value="sheet number"/> <parameter key="sheet_number" value="1"/> <parameter key="imported_cell_range" value="D1:D10485776"/> <parameter key="encoding" value="SYSTEM"/> <parameter key="first_row_as_names" value="true"/> <list key="annotations"/> <parameter key="date_format" value=""/> <parameter key="time_zone" value="SYSTEM"/> <parameter key="locale" value="English (United States)"/> <parameter key="read_all_values_as_polynominal" value="false"/> <list key="data_set_meta_data_information"> <parameter key="0" value="Text.true.polynominal.attribute"/> </list> <parameter key="read_not_matching_values_as_missings" value="false"/> </operator> <operator activated="true" class="nominal_to_text" compatibility="9.10.011" 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:process_document_from_data" compatibility="9.4.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="380" 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"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="9.4.000" expanded="true" height="68" name="Tokenize" width="90" x="45" 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> <operator activated="true" class="text:transform_cases" compatibility="9.4.000" expanded="true" height="68" name="Transform Cases" width="90" x="179" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <operator activated="true" class="text:filter_stopwords_dictionary" compatibility="9.4.000" expanded="true" height="82" name="Filter Stopwords (Dictionary)" width="90" x="313" y="34"> <parameter key="file" value="C:/Users/wille/Documents/Dataset Pemilu 2024 (New)/Misc/Cleaning/stopwordbahasa.csv"/> <parameter key="case_sensitive" value="false"/> <parameter key="encoding" value="SYSTEM"/> </operator> <operator activated="true" class="text:filter_by_length" compatibility="9.4.000" expanded="true" height="68" name="Filter Tokens (by Length)" width="90" x="447" y="34"> <parameter key="min_chars" value="3"/> <parameter key="max_chars" value="15"/> </operator> <operator activated="true" class="text:stem_dictionary" compatibility="9.4.000" expanded="true" height="82" name="Stem (Dictionary)" width="90" x="581" y="34"> <parameter key="file" value="C:/Users/wille/Documents/Dataset Pemilu 2024 (New)/2. Preprocessing/stemming.txt"/> </operator> <operator activated="true" class="text:tokenize" compatibility="9.4.000" expanded="true" height="68" name="Tokenize (2)" 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_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="Stem (Dictionary)" to_port="document"/> <connect from_op="Stem (Dictionary)" from_port="document" to_op="Tokenize (2)" to_port="document"/> <connect from_op="Tokenize (2)" 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_port="input 1" to_op="Read Excel" to_port="file"/> <connect from_op="Read Excel" 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="Process Documents from Data" to_port="example set"/> <connect from_op="Process Documents from Data" from_port="example set" to_port="result 1"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="source_input 2" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> </process> </operator> </process>
0
Answers