A Probabilistic Method for Text Analysis

Textual materials are source of extremely valuable information, for which there must be a reflection on the techniques of analysis to be used to avoid subjective interpretations especially in the content. The Textual Analysis (TA), which makes use of statistical techniques, ensures the systematic exploration of the structure of the text (size, occurrence, etc.) and simultaneously the possibility to return at any time to the original text for the appropriate interpretations. In this work we test a new technique based on a probabilistic model of language known in the literature as ¿topic model¿ for analyzing corpora of documents about electromagnetic pollution. The proposed method is able to reveal how the meaning of a document is distributed all along its spectrum (word-frequency) indicating that the real meaning of a document can be inferred following a multilevel analysis. Such analysis is carried out exploiting a new concept of ontology already used in literature and deeply explained here.