Predicting Question Subjectivity in E-commerce

Humans are always in a quest to extract information related to some topic or entity. Ranging from the kids in school to the professional in industry everyone is involved in an environment where they seek answers to their questions. Question answering system helps user to find the precise answer of the question articulated in natural language. Proposed model provides explicit, concise and accurate answer to user questions rather than providing set of relevant document or web pages as answers in most of the information retrieval system. Proposed model will classify the question using neural network and it will provide the user with functionality to get precise answer of the question articulated in their natural language. Question classification is a vital part of any question answering system. The accuracy of answer provided by question answering system heavily depends on the way question is classified. Accurate question classification leads to retrieval of exact answer in question answering system. Extracting whether a question is subjective or objective helps in analyzing the actual structure of answer expected by the users.