Multimodal sentiment analysis is when a computer program looks at lots of different things to figure out how someone is feeling. Imagine you're in a room with someone, and they're talking to you - you might be able to tell how they're feeling just by looking at them. For example, if they're smiling and their voice sounds happy, you can tell they're happy.
But a computer program can't hear or see things like we do. So instead, it uses lots of different ways to figure out how the person is feeling. It might look at their facial expression (like if they're frowning or smiling), listen to their voice (like if they're speaking loudly or softly), and even look at the words they're saying (like if they're using positive or negative words).
Then, the computer takes all of these things and puts them together to figure out how the person is feeling overall. It might say something like, "This person seems happy and excited," or "This person seems sad and upset."
Multimodal sentiment analysis is really helpful because it can help us understand how people are feeling in different situations, like when they're watching a movie or using technology. It can also help businesses understand how their customers feel about their products or services, so they can make them better.