question about FOG/readability testing

kevinace
kevinace New Altair Community Member
edited November 2024 in Community Q&A
Dear All
I am doing a research paper in Text Readability
1. How do I use Rapidminer to measure complex words (words with Syllabus more than 3). I 'google' for "rapidminer readability" or "rapidminer complex words" but have not found the page I wanted.
2. How to use measure if the targetted content has sentimental words? (I have the list of keywords in 4 different tabs of an Excel spreadsheet) 
 
I have seen few websites offer a free measure of FOG (and other) indexes, but if I simply use others' work, then there is no fun to learn rapidminer. So, thanks in advance for any advice for a new beginner like me :)

Thanks!

Kevin
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Answers

  • MartinLiebig
    MartinLiebig
    Altair Employee
    Hi,
    there is no built-in readability index for documents

    For sentiment, check the operators Extract Sentiment and Dictionary Based Sentiment. Both are part of operator toolbox extension.

    Cheers,
    Martin
  • kevinace
    kevinace New Altair Community Member
    Dear Martin

    1. How do I setup parameter for Append and extract sentiment?
    what i did: read office file - append - extract sentiment - res
    Read office file: an article.doc
    append - auto (default)
    Error: wrong data: wrong input of type 'document' at port. (see screenshot)

    2. I tried with Sentimental Analysis template, came up with 'positive prediction', confidence (-ve) 0.413, confidence (+ve) 0.587, which is wonderful. 
    But, is there a way I can import multiple data set?
    Also, is there a way to change the Sentiment keywords with a 4-tabs Excel spreadsheet I have prepared?

    3. Although there is no build-in readability index in Rapidminer, if I have the formula ready, is there a way to use it?

    4. Although there is no build=in readability index, is there a way to measure syllabus in Rapidminer, for example, there are 10 words in total, with 3 words with syllabus more than 3. 

    Much appreciated!

    Kevin


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