1. A non-transitory computer readable medium carrying instructions for a sentiment classifier for sentiment classification of content comprising: an aspect classifier configured to classify content as being related to a particular aspect of a plurality of aspects of information, the aspect classifier incorporating at least a portion of a domain specific sentiment lexicon to assist in classifying the content, wherein the domain specific sentiment lexicon is configured by: (i) domain specific words and/or phrases from an annotated corpus which has been filtered, (ii) domain specific words and/or phrases obtained via a search of the world wide web using a predetermined linguistic pattern and filtering the returned search results, and (iii) domain specific words and/or phrases obtained via a dictionary expansion technique performed on the domain specific words and/or phrases obtained by at least one of (i) or (ii); a polarity classifier configured to classify the content classified by the aspect classifier as having one of a positive sentiment of the particular aspect of information, a negative sentiment of the particular aspect of information or as having no sentiment of the particular aspect of information, the polarity classifier incorporating at least a portion of the domain specific sentiment lexicon to assist in classifying the content; and an aggregator configured to receive and aggregate results of predictions generated by the aspect classifier and results of predictions generated by the polarity classifier.