Abstract: The disclosure relates to a computer implemented method of extracting typical quotes from text-based data. The method includes obtaining a plurality of text-based data from a plurality of users or sources, wherein each text-based data of the plurality of text-based data is provided by a user or a source from the plurality of users or sources, the text-based data is unstructured; categorizing the plurality of text-based data by at least determining, a typical category and a typical sentiment; wherein the typical sentiment is connected to the typical category; and determining a typical quote representing the plurality of text-based data based on the typical category and the typical sentiment.

Abstract: The disclosure relates to a computer implemented method of characterizing text-based data. The method comprising obtaining a plurality of text-based data from a plurality of users or sources, wherein each text-based data of the plurality of text-based data is provided by a user or a source from the plurality of users or sources, the text-based data is unstructured; analysing each of the text-based data for at least one of category words and unique words, and related sentiment words and/or expressions surrounding the at least one of category words and unique words; providing a scoring of each text-based data based on the at least one of category words and unique words, and related sentiment words and/or expressions surrounding the at least one of category words and unique words; and outputting a summary of the plurality of text-based data based on the scoring.