How to import and label multiple txt datas?

User: "Kebab68"
Kebab68
New Altair Community Member
Updated by Jocelyn
Hello, I have 3 folders containing txt files. Each folder represents an attribute that I would like to use for naive bayes classification.(For example folder 1 represents spam, folder 2 ham, folder 3 Neither ham/spam)

How can I import the txt files,every txt file labeled correctly and apply naive bayes on it? I already installed the text processing extension. I can import every txt file from one folder(with "process documents from files") but they aren't labeled. Thank you

Find more posts tagged with

AI Studio
Text Mining + NLP
Naïve Bayes
Sort by:
1 - 2 of 21
    User: "varunm1"
    varunm1
    New Altair Community Member
    Hello @Kebab68

    There is a loop files operator that will enable you to read all the text files. I understood that you want to label all these files based on folder names. If that is correct, then you can look at the below thread where @KostasBonikos explained very well on extracting folder names and generating attributes with them

    https://community.rapidminer.com/discussion/52499/loading-folder-names-for-text-processing

    Hope this helps. @kayman might add more details.

    Thanks
    User: "kayman"
    kayman
    New Altair Community Member
    Not much too add :smile:
    In essence all is described in the mentioned thread, use the foldername as reference, generate an attribute based on this foldername and set it to label using the role operator. 
Quick Links