top TF-IDF keyword

Hello
I want to extract five words with the highest tf-idf in the output tf-idf matrix.
How should i do ???
Thanks
and how remove '@' , '#' charachters and url from sentence in rapidminer???
Answers
-
Hi @ahootanha,
To answer to your first question, you can find here a process which perform what you want to do :
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="8.1.000" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="social_media:search_twitter" compatibility="8.1.000" expanded="true" height="68" name="Search Twitter" width="90" x="112" y="34">
<parameter key="connection" value="dkk"/>
<parameter key="query" value="tesla"/>
</operator>
<operator activated="true" class="nominal_to_text" compatibility="8.1.000" 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"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="8.1.000" expanded="true" height="82" name="Select Attributes" width="90" x="380" y="34">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Text"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="514" y="34">
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize" width="90" x="380" y="34"/>
<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>
<operator activated="true" class="text:wordlist_to_data" compatibility="8.1.000" expanded="true" height="82" name="WordList to Data" width="90" x="648" y="85"/>
<operator activated="true" class="sort" compatibility="8.1.000" expanded="true" height="82" name="Sort" width="90" x="782" y="85">
<parameter key="attribute_name" value="total"/>
<parameter key="sorting_direction" value="decreasing"/>
</operator>
<operator activated="true" class="filter_example_range" compatibility="8.1.000" expanded="true" height="82" name="Filter Example Range" width="90" x="916" y="85">
<parameter key="first_example" value="1"/>
<parameter key="last_example" value="5"/>
</operator>
<connect from_op="Search Twitter" 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="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" 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"/>
<connect from_op="Process Documents from Data" 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="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="Sort" from_port="original" to_port="result 3"/>
<connect from_op="Filter Example Range" from_port="example set output" to_port="result 2"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>I hope it helps,
Regards,
Lionel
0 -
If you Tokenize on non-letters, all the special characters will be stripped from the resulting words that comprise the word vector.
2 -
@ahootanha what @Telcontar120 says is true. My suggestion is the use the Specify Characters in the Tokenize operator to select what to split on. I do a lot of Twitter extraction and I don't want #hashtag to get wiped out by default, so I split on stuff like !.?"[ but not on #.
2 -
Hello
thank you
But
I am a beginner
I did not understand where to use these codes
How to write a regular expression in the filter token operator?
Please guide
Thanks0 -
Can you give more guidance? And an example
@Thomas_Ott wrote:@ahootanha what @Telcontar120 says is true. My suggestion is the use the Specify Characters in the Tokenize operator to select what to split on. I do a lot of Twitter extraction and I don't want #hashtag to get wiped out by default, so I split on stuff like !.?"[ but not on #.
0 -
@ahootanha grab the process here: http://www.neuralmarkettrends.com/use-rapidminer-discover-twitter-content/
0 -
Hello
thank you very much
But
I do not know where to use these code in my rapidshare program?
Please guide
Send me a screenshot of the implementation of operators
Thanks
@Thomas_Ott wrote:@ahootanha grab the process here: http://www.neuralmarkettrends.com/use-rapidminer-discover-twitter-content/
0 -
Hello
thank you very much
But
I do not know where to use these code in my rapidminer program?
Please guide
Send me a screenshot of the implementation of operators
Thanks0 -
@ahootanha take a look at this thread: https://community.rapidminer.com/t5/RapidMiner-Studio-Forum/Import-XML-code-to-process/m-p/32606#M23194
0 -
hello @ahootanha welcome to the community! Some quick recommendations for you (pretty much exactly what @Thomas_Ott was recommending)...
• Post your XML process here in this thread (see https://youtu.be/KkgB5QXWXJ8 and "Read Before Posting" on right when you reply)
• Attach your dataset if possible (use a fictionalized version if there are privacy concerns)
• Make sure you have all dependent extensions installed (see https://youtu.be/pjBqG3xtXx4)Scott
0 -
Hello
I saw links to YouTube
I installed all the packages
But still can not
Extract ten repetitive words from the tf-idf matrix
Please guide
Thanks0 -
Hello I saw links to YouTube I installed all the packages But still can not Extract ten repetitive words from the tf-idf matrix Please guide Thanks
0 -
Should you run the program after
Write xml code?
how?0 -
hello @ahootanha I really need to see your data and your XML process in order to help. Can you please post both here in this thread?
Scott
0 -
Hello
Thank
I did not use coding
I just entered the data and used the process document (TF-IDF)
Thank you for helping me
Please1