Preprocessing and Feature Selection Approach for Efficient Sentiment Analysis on Product Reviews.
In the recent years opinion mining plays an important role by business analyst before launching a product. Opinion mining mainly concerns about detecting and extracting the feature from various opinion rich resources like review sites, discussion forum, blogs and news corpora so on. The data obtained from those are highly unstructured in nature and very large in volume, therefore data preprocessing plays an essential role in sentiment analysis. Researchers are trying to develop newer algorithm. This research paper attempts to develop a better opinion mining algorithm and the performance has been worked out.
This article is the second of two parts. The first one was published in the issue no 2 of this same journal. The preseni study uses the dependency index and the youth ratio to describe the aging process both at regional and municipal levels. Our data show a yet moderate aging process in (he region. with an uneven distribution throughout the different municipalities.