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9. How do advances in text analytics technology continue to challenge traditional notions of language and communication?

  • Linguistics and Language -> Computational Linguistics and Natural Language Processing

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9. How do advances in text analytics technology continue to challenge traditional notions of language and communication?

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Fairy Grannell

"Text analytics" means computers can understand and analyze written words. This means they can figure out what people are saying and how they feel about it. It's really cool, but it also makes things tricky!

In the past, we thought language was something only people could understand. But now, computers can understand it, too. This is good because it can help us solve problems and understand each other better. For example, if we're trying to figure out how people feel about a new product, we can use text analytics to look at what they're saying on social media. We can learn a lot from this information!

But it also makes things tricky because sometimes computers don't understand things the same way people do. For example, humans can understand sarcasm, but computers might not. This means that if someone writes something sarcastic on social media, a computer might think they mean the opposite of what they actually said. That can cause problems!

Overall, advances in text analytics technology are really interesting and can help us learn a lot. But we also need to be careful and make sure we're understanding each other correctly. It's a new challenge we have to figure out!

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