OPINE is an unsupervised information extraction system which mines
product review data in order to build a model of important product
features, their evaluation by reviewers and their relative quality
across products.
First, the system automatically identifies product features, both
explicit and implicit. For example, the sentence "Our room's temperature
was just right" mentions the explicit feature "RoomTemperature" whereas the
sentence "The hotel is ridiculously expensive" refers to the implicit feature "HotelPrice".
Second, the system identifies opinions regarding product features and
establishes their polarity. For example, "fantastic" is a positive opinion,
whereas "disappointing" is a negative opinion.
Finally, the system ranks opinions corresponding to the same feature based on their
strength. For example, "great" is stronger than "almost great" which in
turn is stronger than "mostly ok".
