This work is developing a novel query interface where users can use natural language expressions to help author visual queries and address the knowledge gap.
: The latest advancement in technology and growing data there is a need to extract information in a more efficient and quicker manner using queries. This gives rise to the need for a more easy-to-use query interface. So far, the typical query interfaces are GUI based visual query interfaces. Visual query interfaces however, have limitations especially when they are used for accessing large and complex datasets. The ease of expressing ones queries is limited due to language barrier and the knowledge of precise key words. Therefore, we are developing a novel query interface where users can use natural language expressions to help author visual queries and address the knowledge gap. The opinions and reviews posted in the websites are analyzed mostly based on static data. Till date, the methods applied to determine whether the opinions are positive or negative. But, now a days, as products are increasing day by day and a huge amount of data reviews are available online. So, this mechanism not considers the opinions at comprehensive level.