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

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Can the implementation of more complex rules improve sentiment analysis in NLP?

Litha Lardeur

Yes, making the rules more complex can help make sentiment analysis better!

You know how sometimes words can have different meanings depending on how they're used? Well, sentiment analysis tries to figure out if a message is positive, negative, or neutral by looking at the words and trying to understand the overall feeling.

But sometimes, the system can get confused because the words might have different meanings depending on the context. That's where having more complex rules can help.

For example, if a computer knows that the word "love" is usually associated with positive feelings, it can use that rule to make a better guess at whether a message is positive or negative. And if it knows that words like "hate" and "dislike" are usually negative, it can use that rule to make a more accurate guess too.

Of course, making rules more complex isn't always easy. It takes a lot of work and testing to make sure the rules are accurate and don't make things worse. But when it's done right, it can make sentiment analysis better and help people understand how others are feeling online.