The browser has sent 45 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Spinner Chief. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 11 to 1 for JavaScripts and from 7 to 1 for CSS and as a result speed up the page load time.
We know that you want more from your spinner so SpinnerChief 5 uses a new, unique, organic approach to spinning, one that grows with your needs. SpinnerChief 5's new method actually gets better the more it is used. No other spinner has it - it's the new, exclusive Statistical Replacement Technology (SRT). It works in a radical new way by selecting the statistically most appropriate synonym for any word or phrase. SRT works in a similar way to Google Translate - you may have noticed Google Translate is getting better over time with more accurate translations. This is because as the web grows, the sample size for Google Translate's database increases, and so becomes statistically more likely to use the correct wording when it translates. SpinnerChief 5 works in a similar way by polling its huge Cloud Thesaurus for the statistically best synonym. As the Cloud Thesaurus grows, so SpinnerChief 5 gets better and better at synonym replacement. Remember - it's exclusive, don't expect to see this kind of technology anywhere else. ONLY with SpinnerChief!
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It is a simple process where the user will simply copy and paste their article into the text box. The spinner will do the rest as it produces an entirely new article on the spot. Users are also able to include words that should be ignored by the spinner. This is in case you have specific keywords that should not be taken out. This is a fantastic tool for those who are on the go and need quality content right away. Instead of spending hours on producing content and/or spending money outsourcing to writers, it is easier to employ this spinner instead.
Imo it is not possible for google to detect properly spun content, it is not worth computing power it requires. They can do this using ngrams for example, but it is uses a lot of queries. And for example article spinner I coded beats this algo, so google cant detect that the content is spun. Manual spinning is also good but it takes more than 30 minutes per article.
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