How to use machine learning (if you can’t code) to help your keyword research

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I have previously written about why keyword research isn’t dead. A key theme I continually make is that keyword categorization is incredibly important in order to be useful so that you can optimize towards topics and clusters rather than individual keywords. My keyword research documents often exceed 20k-50k keywords which are normally broken into two, three or sometimes more categories reflective of the site taxonomy in question. As you can see, I have categorized the keywords into 4, filterable, columns allowing you to select a certain “topic” and view the collective search volume for a cohort of keywords. What you can’t see is that there are over 8k keywords. A few years ago I used to categorize this fairly manually, using some simple formulas where I could. Took ages. So I made a keyword categorization tool to help me. It’s built using php and still pretty rudimentary but has sped the time I am able to do keyword research and categorize it from a couple of days to 12-15 hours depending on how many keywords there are. I’m a sucker for a trend. So the minute all the SEOs started shouting about how great Python is, of course I am on the bandwagon. My goal is to streamline the keyword research process even further and I’m loving learning such an adaptable language. But then I came across this video by David Sottimano where he introduced BigML into my life. Imagine an online “drag and drop” machine learning service; a system literally anyone can use. This is BigML. I am still pursuing my ultimate goal of mastering Python, but in the meantime, BigML has provided me with some very interesting insights that have already sped up my keyword categorization. The aim of this article is to give you some ideas about leveraging (free) technologies already out there to work smarter. A quick note before we delve in, BigML is a freemium tool. There is a monthly fee if you want to crunch a lot of data or want added features (like more than one person on the account at one time). However, to achieve the results in this article, the free tier will be more than enough. In fact, unless you’re a serious data scientist and need to analyze a LOT of variables, the free tier will always be enough for you. Step 1 – Getting the training data For this …

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