The main difference between AI text mining and traditional keyword research

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mmehedi*#
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The main difference between AI text mining and traditional keyword research

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Text mining is a process of analysing and identifying the best keywords, issues on the site, and complaints, as well as performing text analysis, much like what Google can do.

This process can be applied to any company website or marketing campaign. Text mining is a powerful tool for marketers that can help them optimise their content for search engines and in similar fashion, audience engagement.

is in the way that it analyses data. It doesn’t just look at single words but instead looks at phrases and whole sentences to find out what people are interested in.

TextOptimizer is an example of how artificial intelligence in content marketing helps to gain better insight into the website’s performance issues, interests of the users and keyword strings afghanistan whatsapp number database most likely to perform well. It’s a nifty tool for finding content ideas and spotting potentially great but unused keywords on a website.

Text Optimizer Is a Practical Tool Powered by AI to Achieve Insight Into Website Issues and Users' Interests
Source: Text Optimizer

In the example below, the tool retrieved a list of words related to a question on how to use a shape builder tool in AI. Using the tool, the content marketing agency is able to create in-demand information and optimise a web page or website for those keywords.
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