Relevance and Support calculation for Health information

Consumer health information search (CHIS) is a forum of information retrieval that has organized two tasks to be performed. The first task includes the identification that whether a given query is relevant or irrelevant to the sentences available in the document. The second tasks talks about finding the nature of support of a sentence in the document to the query. Task 1 i.e identification of relevance is done by performing different similarity measures calculations and finally averaging the obtained score to find the relevance nature of a sentence. The second task is solved by using a special type of support vector machine called C-support vector machines that can handle multiclass support. The results obtained from CHIS organizers shown that model developed for second task shown promising results than that of the model developed for the first task.