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The field that is doing this work you describe is sentiment analysis. From Wikipedia: A basic task in sentiment analysis is classifying the polarity of a given text at the document, sentence, or feature/aspect level — whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond ...

Schroedingers Cat nailed a couple of important points and I need to expand it further. I believe the important roadblock in the creation of an absolutely intelligent machine is the fact that human brain is still not decrypted. There isn't a holistic cognitive model that describes how the brain functions, reacts or take decisions. Even in case such a model ...

"how to build a system that can read natural language and ... understand it" I am not sure you appreciate what you are wanting here. Just this one piece requires an understanding of the processes of the mind that I don't believe we are at yet. There is a lot of material about how we MIGHT achieve this, but you would need to appreciate the whole cognative ...

I would search under the topic of affective computing especially in detecting and recognizing emotional information and then specialize on NLP methods in this area. Here are a few articles of interest: Visualizing the affective structure of a text document A model of textual affect sensing using real-world knowledge Saurus: an emotionally-weighted ...

I think you misunderstood, in a lot of ways, what Haag & Nagel (2000; what you call Paper 1) did and how Arens, Gerber & Nagel (2008; Paper 2) extended it. Fig. 1 of AGN08 is a good summary of HN00. What HN00 did was build a system that could watch a video of an intersection, detect cars, and translate the car behavior into a conceptual framework. As ...