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"About text clustering."
maria_godric
Hi,
Now I am working with KMedoids clustering with Text data.I have input 10 different texts in the text input operator.But RM dividing each text files into 10 rows and applying clustering on the divided data.Is there any way to take the whole text as a single row.
Thanks
Maria
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Text Mining + NLP
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fischer
Hi,
I guess there is something wrong with your process setup. RM does not divide texts into lines normally. Can you post your process?
Cheers,
Simon
maria_godric
Hi Simon,
Thanks for your help.
Here I am attaching the xml.
<operator name="Root" class="Process" expanded="yes">
<operator name="TextInput" class="TextInput" expanded="yes">
<list key="texts">
<parameter key="fcontact" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="odiary" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="diary" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="clipr" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="updated" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="crts" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="field" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="aplan" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="subrogation" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
<parameter key="closing" value="C:\Documents and Settings\ADMIN\Desktop\case"/>
</list>
<list key="namespaces">
</list>
<operator name="StringTokenizer" class="StringTokenizer">
</operator>
<operator name="EnglishStopwordFilter" class="EnglishStopwordFilter">
</operator>
<operator name="TokenLengthFilter" class="TokenLengthFilter">
</operator>
<operator name="PorterStemmer" class="PorterStemmer">
</operator>
</operator>
<operator name="KMedoids" class="KMedoids">
<parameter key="k" value="3"/>
</operator>
</operator>
Thanks
Maria
land
Hi,
RapidMiner doesn't do this inside this process. Please check if you simply pointed to the wrong files.
Greetings,
Sebastian
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