Enhanced Technique To Find Features Using Intrinsic And Extrinsic Domain Relevance
This paper helps in identifying the features from online reviews by applying feature filtering criterion. Earlier
opinion feature extraction techniques are mainly based on mining patterns from a single review corpus which is most of the
times dependent review corpus. Identifying candidate features which are from both corpora i.e. domain dependent and
domain independent, this is captured by a measure called Domain relevance. Features extracted are relevant to a domain. For
each and every extracted candidate feature its respective Intrinsic Domain Relevance and Extrinsic Domain Relevance
values are estimated. These values are compared with threshold and are identified as best candidate features.
Keywords-Information search and retrieval, Opinion Mining, Natural language processing, Opinion feature.