Opinion driven decision support system
Kavita Ganesan · 2013
Opinions on the web present a wealth of information that can be leveraged in our day to day decision making tasks ranging from which product to purchase to which doctor to consult for a particular ailment. Due to the large volume of opinions available from different sources across web, digesting all the available opinions is a time consuming process which can severely impair user produc-tivity. As a result, these valuable opinions become more of a hindrance than a help in decision making scenarios especially those involving a large number of entities. Most existing work on solving this general problem has been focused on sum-marizing opinions to help users better digest all the opinions. Unfortunately, in many decision making scenarios, the number of entities in consideration could be quite large. Thus, making decisions by reading summaries alone would still be inefficient as you would need to read summaries of different entities thoroughly. Further, as most of the opinion summarization systems focus on generating