Comparator Mining Lead to Better Alternatives for Making Better Decision

Today internet has become easily accessible which allows the user to perform multiple tasks such as access information, do study, make friends, online shopping, search for anything they want and many more. Similarly people do use internet to know the better options and find out relevant alternatives of product, services, places like wise. But searching for better choices may become frustrating and time eating process as search engines shows many links for single thing. Therefore, this paper precisely gives the better result and better alternatives. For this, a weakly supervised bootstrapping approach is used, by which we can identify comparative questions and at the same time evaluate comparable items. It also shows better options for the general term entities and for ambiguous entities in different classes if the specific class is not specified. It also gives the better resultant alternatives for the single entity by categories. The weakly supervised bootstrapping approach is very potential to know better alternatives of any product, place or any services. The experiment result shows the better performance of this method by measuring the Recall, Precision and F-Score. The method works better, effective and efficient in showing the better result and alternative for any single entity, comparable entities and entities that are ambiguous.