AI Terminologies for Marketers
For starters, it is difficult to understand the language of AI, thus it is important to know it’s terminologies as well as basic functions to understand the technology.
For starters, it is difficult to understand the language of AI, thus it is important to know it’s terminologies as well as basic functions to understand the technology.
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Semantic Analysis<br />
Semantic analysis is a sophisticated <strong>for</strong>m of NLP that focuses on how people string words<br />
together as well as how they understand language in its cultural context. This could be useful in<br />
creating blog posts and eBooks and has the potential to replace content marketers or human<br />
writers.<br />
Supervised Learning<br />
This type of machine learning requires human input to function. A person inputs data into the<br />
machine and then supervises the process as the computer <strong>for</strong>ms one or more desired<br />
outcomes.<br />
Unsupervised Learning<br />
In contract, machines with unsupervised learning capability require minimal or no assistance<br />
from humans to come up with conclusions based on patterns it has uncovered.<br />
As you can see, many of these terms overlap and have related meaning. You should become<br />
familiar enough with them to understand how any one of these technologies can affect your<br />
marketing ef<strong>for</strong>ts. We are happy to answer your questions at any time at Call Sumo and look<br />
<strong>for</strong>ward to helping your company experience explosive growth with <strong>AI</strong>.
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