New topics and discourse varieties search in electronic mass media texts
This paper covers a new topics search and discourse varieties method based on identification and analysis of texts semantic relevant elements - keywords (KW). The main point of the method is to compare sets of keywords of current and previous periods, acquire a „differential set“ of keywords and select messages of the current period which conform with KW differential set. After that, it uses a multi-dimensional object arrangement algorithm to group together the selected messages; conducts acquisition algorithm description of text blocks containing „new“ (compared to the previous period) keywords and „old“ keywords; reports cluster analysis results which enables identification of new topics in media messages, and an example of social network discourse alteration.