Hello, I am working on a project for university and was wondering if anyone could share their expertise as i am a beginner to rapidminer.
It is a pretty straightforward project, I got a chatGPT sentiment dataset from kaggle which labels tweets as either good, bad, or neutral, and want to perform classification analysis. The only thing that I can't seem to figure out is how to generate a wordcloud for the most occuring terms. For example, I want to see what the top 20 terms that make up each sentiment label.
I would greatly appreciate any input!
Thanks
Attached is a sample from the data, and this is the XML:
<?xml version="1.0" encoding="UTF-8"?><process version="10.3.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="10.3.001" 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="open_file" compatibility="10.3.001" expanded="true" height="68" name="Open File" width="90" x="45" y="34">
<parameter key="resource_type" value="file"/>
<parameter key="filename" value="C:/Users/Admin/Downloads/batch2.xlsx"/>
</operator>
<operator activated="true" class="read_excel" compatibility="10.3.001" expanded="true" height="68" name="Read Excel" width="90" x="179" y="34">
<parameter key="excel_file" value="C:\Users\Admin\Downloads\batch2.xlsx"/>
<parameter key="sheet_selection" value="sheet number"/>
<parameter key="sheet_number" value="1"/>
<parameter key="imported_cell_range" value="A1"/>
<parameter key="encoding" value="SYSTEM"/>
<parameter key="use_header_row" value="true"/>
<parameter key="header_row" value="1"/>
<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="A.true.integer.attribute"/>
<parameter key="1" value="tweets.true.polynominal.attribute"/>
<parameter key="2" value="labels.true.polynominal.attribute"/>
</list>
<parameter key="read_not_matching_values_as_missings" value="false"/>
</operator>
<operator activated="true" class="blending:set_role" compatibility="10.3.001" expanded="true" height="82" name="Set Role" width="90" x="313" y="34">
<list key="set_roles">
<parameter key="labels" value="label"/>
</list>
</operator>
<operator activated="true" class="filter_examples" compatibility="10.3.001" expanded="true" height="103" name="Filter Examples" width="90" x="447" y="34">
<parameter key="parameter_string" value="labels=good"/>
<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="labels.equals.bad"/>
</list>
<parameter key="filters_logic_and" value="true"/>
<parameter key="filters_check_metadata" value="true"/>
</operator>
<operator activated="true" class="nominal_to_text" compatibility="10.3.001" expanded="true" height="82" name="Nominal to Text" width="90" x="581" y="34">
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value="labels"/>
<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="10.0.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="715" 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"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="10.0.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=","/>
<parameter key="expression" value="."/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<operator activated="true" class="text:filter_by_length" compatibility="10.0.000" expanded="true" height="68" name="Filter Tokens (by Length)" width="90" x="246" y="34">
<parameter key="min_chars" value="4"/>
<parameter key="max_chars" value="25"/>
</operator>
<operator activated="true" class="text:transform_cases" compatibility="10.0.000" expanded="true" height="68" name="Transform Cases" width="90" x="380" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:filter_stopwords_english" compatibility="10.0.000" expanded="true" height="68" name="Filter Stopwords (English)" width="90" x="514" y="34"/>
<operator activated="true" class="text:filter_stopwords_dictionary" compatibility="10.0.000" expanded="true" height="82" name="Filter Stopwords (Dictionary)" width="90" x="648" y="34">
<parameter key="file" value="C:/Users/Admin/Downloads/stopwords.txt"/>
<parameter key="case_sensitive" value="false"/>
<parameter key="encoding" value="UTF-8"/>
</operator>
<operator activated="true" class="text:stem_porter" compatibility="10.0.000" expanded="true" height="68" name="Stem (Porter)" width="90" x="782" y="34"/>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
<connect from_op="Filter Tokens (by Length)" from_port="document" to_op="Transform Cases" to_port="document"/>
<connect from_op="Transform Cases" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
<connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Stopwords (Dictionary)" to_port="document"/>
<connect from_op="Filter Stopwords (Dictionary)" from_port="document" to_op="Stem (Porter)" to_port="document"/>
<connect from_op="Stem (Porter)" 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="aggregate" compatibility="10.3.001" expanded="true" height="82" name="Aggregate" width="90" x="45" y="136">
<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="labels" value="count"/>
</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"/>
</operator>
<operator activated="true" class="blending:sort" compatibility="10.3.001" expanded="true" height="82" name="Sort" width="90" x="179" y="136">
<list key="sort_by">
<parameter key="count(labels)" value="ascending"/>
</list>
</operator>
<operator activated="true" class="filter_example_range" compatibility="10.3.001" expanded="true" height="82" name="Filter Example Range" width="90" x="313" y="136">
<parameter key="first_example" value="-1"/>
<parameter key="last_example" value="20"/>
<parameter key="invert_filter" value="false"/>
</operator>
<connect from_op="Open File" from_port="file" to_op="Read Excel" to_port="file"/>
<connect from_op="Read Excel" from_port="output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" 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="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_op="Aggregate" to_port="example set input"/>
<connect from_op="Aggregate" from_port="example set output" to_op="Sort" to_port="example set input"/>
<connect from_op="Sort" from_port="example set output" to_op="Filter Example Range" to_port="example set input"/>
<connect from_op="Filter Example Range" from_port="example set output" 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>