How can AI be used in sentiment analysis?
AI can analyze text data to determine the sentiment behind it, categorizing it as positive, negative, or neutral.
What types of data can be analyzed for sentiment?
Sentiment analysis can be applied to social media posts, customer reviews, surveys, and any text data.
How accurate is AI in sentiment analysis?
The accuracy varies based on the model and data quality, but advanced models can achieve over 90% accuracy.
Can AI understand sarcasm in sentiment analysis?
Understanding sarcasm is challenging for AI, but ongoing research aims to improve its detection capabilities.
What are some common applications of sentiment analysis?
Common applications include brand monitoring, customer feedback analysis, and market research.
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