1. A method for aspect categorization comprising: receiving an input text sequence; providing for identifying aspect terms in the input text sequence; providing for identifying sentiment phrases in the input text sequence; for an identified aspect term: providing for identifying sentiment dependencies in which the aspect term is in a syntactic dependency with one of the identified sentiment phrases, and from a dependency graph of the input text sequence, the dependency graph comprising a sequence of nodes, providing for identifying pseudo-dependencies in which a node representing the aspect term precedes or follows a node representing a semantic anchor in the dependency graph without an intervening other aspect term; extracting features from at least one of identified sentiment dependencies and identified pseudo-dependencies; with a classifier trained to output at least one of category labels and polarity labels for aspect terms, classifying the identified aspect term based on the extracted features; and outputting information based on the classification.
1. A method for aspect categorization comprising: receiving an input text sequence; providing for identifying aspect terms in the input text sequence; providing for identifying sentiment phrases in the input text sequence; for an identified aspect term: providing for identifying sentiment dependencies in which the aspect term is in a syntactic dependency with one of the identified sentiment phrases, and from a dependency graph of the input text sequence, the dependency graph comprising a sequence of nodes, providing for identifying pseudo-dependencies in which a node representing the aspect term precedes or follows a node representing a semantic anchor in the dependency graph without an intervening other aspect term; extracting features from at least one of identified sentiment dependencies and identified pseudo-dependencies; with a classifier trained to output at least one of category labels and polarity labels for aspect terms, classifying the identified aspect term based on the extracted features; and outputting information based on the classification. 3. The method of claim 1 , wherein the semantic anchor nodes are selected from nodes with lexical semantic information about categories, nodes with polarity information, and combinations thereof.