Semantic analysis is technically the analysis of the meaning of language, but usually when we say semantic analysis, we are talking about understanding the feelings of the author. Semantic classifiers are typically trying to classify some utterance as positive, negative, happy, sad, neutral, and so on.
One of my favorite features of human language, sarcasm, makes this a challenging problem to solve. There are many subtle patterns in human language that are very challenging for computers to learn. But challenging doesn't mean impossible. Given a good dataset, this task is very possible.
Success for this type of problem requires a good dataset. While we can most certainly find ample amounts of human conversation all over the ...
