Extraction of key/title/aspect words from document using wordnet
Sheikh Muhammad Saqib, Tariq Naeem and Khalid Mahmood
Abstract
Changeling research problems are associated with opinion mining but it has also potential benefits as defines by different researchers. In opinion mining, key source for inputs are documents. These are either stored document or from different sites. In opinion mining, if documents are aspects or key words based, then results will be high accurate. Now issue is that how these key words can be accessed? Here we proposed a framework, which can determine key/ title or aspects words by creating a similarity path matrix of words. We use SentiWordNet and WordNet to calculate such matrix. These words not only helpful for document searching but also are useful for clustering, and lexicon making.
Keyword
Opining mining, Aspect based sentiment analysis, SentiWordNet, WordNet.