GPB’s new Content Analysis Tool

We are delighted to announce the completion of the first phase of development of our new online Scientific Content Analysis tool. It is now ready to use, and is available to the public for free, and can be found at www.ca.gpb.eu.

The purpose of this Tool is to help our clients (and anyone else who finds it useful) a measurement of their content so that they can see exactly where it needs to develop. We measure Numerical, Readability and Rhetorical metrics.Once you have made the changes, the improved scores on their various metrics will tell you that you have better content. For example, if you have an average number of words per sentence of 24, then that is longer than ideal length, which research suggests should be well below 20 words per sentence.

In our first phase we set ourselves the task of creating a content analysis tool that would be able to measure all the metrics used by all the other online tools. On other sites (and on some Microsoft software such as Word) you can see a range of metrics displayed. On the various sites you can find between 5 and 15 metrics, but the list of metrics varies, and is inconsistent. So we set out to have all the programmable metrics in one place.

The second task we set was top make our measurement more accurate than the other sites. This was because we noticed that when you copied text into each existing site, the results you got varied. For some metrics this can be explained by having different definitions for the metrics, where the definitions of these metrics has not been universally agreed. But that should not be the case for things like word per sentence count, and number of quotes or questions.

The GPB Content Analysis tool has the following metrics:

Numerical metrics

Number of: characters, sentences, words and syllables

Number of unique and repeated words

Average number of characters and syllables per word

Average number of words per sentence

Total number of polysyllabic words (3 or more syllables)

Readability metrics

Gunning-Fog, Coleman-Liau, Flesch-Kincaid grade level and Automated Readability indices

SMOG (Simple measure of Gobbledygook) Index

Flesh Reading Ease

Rhetorical metrics

Total number of rhetorical questions

Total number of quotations


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