1. A method for determining a sentiment, comprising: receiving or accessing, using a microprocessor, a text; processing the received or accessed text and determining, from the text including formatting information related to parts of the text, a sentiment expressed by at least one of the parts, wherein the sentiment is determined automatically using the microprocessor and is determined based on formatting information related to the at least one of the parts, the determining of the sentiment is based on an analysis of an order of sentences in the text, the formatting information includes at least one of an underlining, an italic printing, a color, a font style, and/or a font size of characters, for each of a plurality of the parts, a respective sentiment and a respective level of importance are determined by performing analysis of the text using the microprocessor, a score is generated depending on values assigned to the respective sentiments of the plurality of the parts of the text, the score being generated by determining a weighted sum of the respective sentiments of the plurality of the parts, a weight of a respective sentiment being determined based on a respective level of importance and/or on a respective strength of the respective sentiment, and the sentiment is determined depending on a cultural back-ground of an author of the text, by performing an analysis of particular information associated with the text including choice of words; generating a visual indication associated with the score and the sentiment that is based on the formatting information, the order of sentences, and the cultural back-ground; outputting the generated visual indication to a display; and in response to receiving or accessing a plurality of texts, evaluating, for the plurality of texts, a respective sentiment with respect to a semantic content of at least one respective part of each of the texts by using statistical methods.