Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
"work with text"
Learner I
Good morning. I working on the drafting of the patent landscape (inventions) and I want to highlight keywords from the text using the program. Tell me please what operators and in what sequence for this I should use?
Tagged:
0
Answers
There is plenty of documentation and real good answers about this topic on this community site and other places. I will limit myself to give you some keywords so that you can do your own search and build your project.
Normally you would use "Read Documents" to read the texts and make them available to the rest of the process. Then you might want to use "Process Documents" and inside this process you can: Tokenize, Filter Stopwords, Transform Cases and Generate N-Grams. These terms will help you with your search.
Other keywords you should use in your search include "Natural Language Processing" and "NLP", as that is what you are doing.
Old man's advice: we are willing to help but as data scientists and researchers, many of us encourage you to also do some research on your own and come up with problems when you get stuck. The best way to learn is to be hands on, no matter how wrong you get things over time. Making mistakes is part of the learning process. Go ahead!
Hope this helps.
Rodrigo.
I suggest you to check this excellent tutorial from @Thomas_Ott about the similar topic, extracting key terms from tweets:
* http://www.neuralmarkettrends.com/use-rapidminer-discover-twitter-content/
This approach is pretty much suited for your problem as well.
Vladimir
http://whatthefraud.wtf