The first step in understanding why semantic news media monitoring is better than lexical search is knowing what news media monitoring actually is. News media monitoring, similar to social media listening, allows you to listen to news media for mentions about your brand, your industry, or any other keyword or topic that’s important for your business.

1. Will the Future of Search
be Semantic in 2021?
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2. Table of Contents
● What Is News Media Monitoring?
● Limitations of Lexical Search or Keyword Search
● What Is the Importance of Semantics in News Media
Monitoring?

3. Why Is Semantic News
Media Monitoring Better
Than Lexical Search?
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4. A news media monitoring platform allows you to monitor news sites,
news feeds, social media, and other sources for news and reviews
about your brand and then aggregates all this information to give you
valuable insights. Through news and social engagement it allows you
to see how people really feel about your brand through sentiment
analysis and mapping.

5. What Is News Media Monitoring?
The first step in understanding why semantic news media monitoring is
better than lexical search is knowing what news media monitoring actually is.
News media monitoring, similar to social media listening, allows you to listen
to news media for mentions about your brand, your industry, or any other
keyword or topic that’s important for your business.
In this way, you gain valuable insights into your marketing campaigns and
initiatives, your competitors, and your industry which allows you to keep a
close eye on your business reputation and compare it to industry benchmarks.
News media monitoring does not only allow you to see how your brand is
portrayed in the media but also allows you to manage it and improve it where
necessary.

6. Limitations of Lexical Search or Keyword
Search
Considering the above, the question is why not just use keyword or lexical
searches to find mentions about your brand on news media instead of
investing in a news media monitoring platform? The reason is that even
though keyword searches can be helpful when you want to find specific
information in vast amounts of data, it has serious limitations when it comes
to scouring through millions of news and media pieces to gain insightful
information. News sentiment analysis can give you nuggets of information
from the vast sea of data that you would probably be unaware of, had it not
been for an AI-model’s deep search and neural network finding that
particular combination of aspect-co occurrence.

7. What Is the Importance of Semantics in
News Media Monitoring?
Let’s look and why it’s so important in news media monitoring to apply
semantics. A semantic algorithm -

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