How machine learning is making an impact on media analysis
Artificial intelligence promises to dramatically change the way PR pros measure their campaigns. Here’s what the technology now allows—and where it is headed.
There is hardly any industry that has not jumped on the artificial intelligence and “big data” analytics bandwagon yet, but one notably lags: public relations and communication.
A possible reason for this is that PR is an inherently difficult discipline to quantify. Another is that the fields of AI which can provide transformational value to PR & comms—natural language processing (NLP), and natural language understanding (NLU) in particular—are yet to reach their optimal productivity. According to Gartner’s Hype Cycle of Natural Language Technologies, they still have some five to ten years to go until finding mainstream adoption.
Source: https://behavioralsignals.com/behavioral-signals-a-sample-vendor-for-natural-language-technologies/
The value of NLU, the part of NLP that deals with computers’ ability to comprehend the structure and meaning of human language, to PR pros lies in its application to automated reasoning, machine translation, news-gathering, text categorization, and large-scale content analysis.
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