What are the challenges in sentiment analysis?

What are the main challenges in sentiment analysis?

Some main challenges include understanding context, sarcasm, and the ambiguity of language.

Can you explain how sarcasm affects sentiment analysis?

Sarcasm can mislead sentiment analysis tools, as the literal meaning differs from the intended emotion.

What about different languages? Do they pose a challenge?

Yes, different languages have unique structures and idioms, making it difficult for models trained on one language to perform well on another.

How do you handle ambiguous phrases in sentiment analysis?

Handling ambiguity often requires advanced techniques like context analysis and machine learning models trained on diverse datasets.