Abstract: Systems and methods for aspect-based sentiment analysis using machine learning methods. An example method comprises: performing, by a computer system, a syntactico-semantic analysis of at least part of a natural language text to produce a plurality of syntactico-semantic structures representing the part of the natural language text; interpreting the syntactico-semantic structures using a set of production rules to detect, within the part of the natural language text, at least one aspect term representing an aspect associated with a target entity; and evaluating, using one or more text characteristics produced by the syntactico-semantic analysis, a classifier function to determine a polarity associated with the aspect term.