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
"Clustering in Text mining"
Hi All,
I want to classify/cluster words depending upon their similarity of meaning.
Like i want to classify all word with negative meaning(no, not, never) into one cluster.
Please tell me how to proceed ahead.
I have performed the tokenization, filtering, stemming n now want to proceed with clustering.
I am also new to this topic, so plz tell me whether my approach is correct or not.
Thanks and Regards,
neelam
I want to classify/cluster words depending upon their similarity of meaning.
Like i want to classify all word with negative meaning(no, not, never) into one cluster.
Please tell me how to proceed ahead.
I have performed the tokenization, filtering, stemming n now want to proceed with clustering.
I am also new to this topic, so plz tell me whether my approach is correct or not.
Thanks and Regards,
neelam
Tagged:
0
Answers
one would usually apply a weighting schema that draws it's weighting from class information of each single document. Unfortunately I cannot give you a full introduction into this complex field, but we are offering courses on the web for such tasks. See our shop for more details.
Greetings,
Sebastian