Now that I’ve got a clean data set free of extra characters and odd spaces, I’ll copy the column and paste it into a plain text editor to remove formatting. I often use the one online at editpad.Org.
That leaves me with this:
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In editpad, you can easily copy your clean data and paste it into the entry box on tagcrowd. Once you’ve done that, hit visualize and you’re there.
There are a few settings down below that can be edited in tagcrowd, such as minimum word occurrence, similar word grouping, etc. I typically utilize a minimum word occurrence of 2, so that I have some level of frequency and cut out clutter, which I’ve used for this example. You may set a higher threshold depending on how many words you want to look at.
For My Example I’ve Highlighted a Few Items in
The cloud that are somewhat informational.
Clearly, there’s a fair amount of discussion around “flowers,” seeds,” and the words “identify” and “id.” while I have no doubt my gardening sample site is already discussing most of these major topics such as flowers, seeds, and trees, perhaps they haven’t realized how common questions are around identification. This one item could lead to a world of new content ideas.
Deeper crawling will yield more interesting results, and Investor Leads you’ve likely realized already how in this example, crawling during various seasons could highlight topics and issues that are currently important to gardeners.
It’s Also Interesting That the Word
“Please” shows up. Many would probably ignore this, but EL Leads to me, it’s likely a subtle signal about the communication style of the target market I’m dealing with. This is polite and friendly language that I’m willing to bet would not show up on message boards and forums in many other verticals ☺. Often, the greatest insights besides understanding popular topics from this type of study are related to a better understanding of communication style, phrasing, and more that your audience uses. All of this information can help you craft your strategy for connection, content, and outreach.
Utilizing online-utility.Org for analysis
Since I’ve already scrubbed and prepared my data for tagcrowd, I can paste it into the online-utility entry box and hit “process text.”
After doing this, we ended up with this output:
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There’s more information available, but for the sake of space, I’ve grabbed only . A couple of shots to give you the idea of most of what you’ll see.
