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  Addsamuels > 24-02-2025, 10:15 PM

  Please rate my posts on text analysis, I'm especially pleased with kmeans3

• RE: Feedback on posts

  oshfdk > 25-02-2025, 01:03 PM

  I cannot rate them since I just skimmed over the descriptions without much looking at the actual data. But if you want to know what kinds of posts I personally enjoy the most, it is those connecting actual data to some non-trivial interpretation.
  
  I feel like there is no shortage of two types of posts on Voynich forums:
  1) showcasing some translation based on what looks like very arbitrary process, without providing specific details and usually ignoring a lot of conflicting data, not very persuasive and hence not very interesting for me;
  2) showcasing some raw data without any interpretation and any clear path towards a specific deciphering attempt, personally for me not very interesting either.
  
  And I absolutely love posts that combine both high quality data analysis and some specific interpretation of the data, which could lead to some tangible progress, be it with the text, the images or any other aspect of the manuscript.

• RE: Feedback on posts

  RobGea > 25-02-2025, 08:56 PM

  I believe the quality of your Text Analysis posts would be greatly improved by the application of the techniques discussed in the following links.
  They are a bit over the top for a post here, but the underlying principles should serve you well now and in the future.
  
  Nature >> Scientific Papers
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  Springer >> Introduction, Methods and Results.
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  Springer >> Identifying your research question.
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