Comparable Entity Mining From Comparative Question Archive

Comparing one thing with another is a typical part of human decision making process, especially during an online purchase scheme. Without comparing it is not fair to purchase a product, since it won’t give an ideal performance. To get rid of this difficulty, my paper presents an ideal way for automatically mine comparable entities from comparative questions that users posted online. It gives an opportunity to improve the search experience by automatically offering comparisons to user. A weekly supervised bootstrapping algorithm is employed here for comparative question identification and comparable entity extraction by collecting a large online question archive. It also provides users to add new attributes of their interest to the annotation form, so that the next search retrieves the provided new attribute information. This technique would outperform the existing system of online shopping. Keywords— Information extraction, Natural language processing, part of speech, Robust automated production of IER