Q: Good afternoon, dear NeuronWriter developers!
A small suggestion.
The number of recommended terms by default is calculated by median based on the number of terms in the top 10 competitors. Right?
Also, the target is calculated by the number of text lengths in words.
For example, the target is 1072 words in text length for the topic "constant current generator" and it is recommended to have 6-32 uses of the term "voltage" for the whole text.
But sometimes we decide to make the text much longer than the competitors, for example 2140 words instead of 1072.
It would be correct to recalculate the recommended number of uses of the term "voltage" in proportion to the increase in the length of the text.
That is, in our example, to recommend 12-64 uses for "voltage".
If you make the change I requested, you can also add a checkbox in the settings to recalculate the number of terms in proportion to the change in target length or not to recalculate.
Pawel_NeuronWriter
May 15, 2024A: Hello,
It's already in place, but it works on the color level as it could be misleading to change density/recommendations number when you type.
How this works now?
A. The suggested text length is 1000, the content current length is 700, and the density for the word "ABC" is between 3-5; you already have this "ABC" or its variants in text 10 times. This term's color becomes red => over usage.
B. The suggested text length is 1000, the content current length is 2500, and the density for the word "ABC" is between 3-5; you already have this "ABC" or its variants in text 10 times. This term's color is still green => density is in range for content length.
I hope this helps ;)
975349It's good that it works at least at the color level.
But the numbers in the "Terms in article" can be misleading, because the term "ABC" is used 10 times with a recommendation from 3 to 5.
I would like a clearer display in the form of changing numbers.
Hello,
We tested "changing numbers," and believe me, it's very misleading when is done live.
Do you have an example of how any other tool solves this? From where do you have an idea that this will work well on the UX level?
Have fun with NEURON ;)