Experts state that a detailed analysis of rhetorical structure highlights crucial sentiment-carrying text segments. A better understanding of a text's sentiment can be obtained by guiding the analysis by the text's rhetorical structure. They state that automated sentiment analysis is related to natural language processing, computational linguistics, and text mining. Deep linguistic analysis is a key success factor for sentiment-analysis systems, as it helps in dealing with compositionality or the way the semantic orientation of text is determined by the combined semantic orientations of its constituent phrases.