Word2Vec on TF-IDF wordlist


in Help
Dear all,
I am exploring one possibility i.e. I want to extract the most frequent nouns from user reviews using TF-IDF (let's say the output is TF_IDF_List), the result will be wordlist.
After that, I want to use Word2Vec to find the similarity of the words in the TF_IDF_List.
Then, using k-means to cluster those similar words.
May I know if anyone can guide me how to achieve that in rapidminer?
Your small input will make a big difference to my learning.
thanks much in advance.
I am exploring one possibility i.e. I want to extract the most frequent nouns from user reviews using TF-IDF (let's say the output is TF_IDF_List), the result will be wordlist.
After that, I want to use Word2Vec to find the similarity of the words in the TF_IDF_List.
Then, using k-means to cluster those similar words.
May I know if anyone can guide me how to achieve that in rapidminer?
Your small input will make a big difference to my learning.
thanks much in advance.
0
Best Answer
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MartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,454
RM Data Scientist
Hi,BR,Martin
- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany1