Opinion Ensembling to Analyse Economic Growth through Tourism

Throughout the world, tourism brings money to cities and countries. Tourism also provides jobs for the local residents, further benefiting the destination. India has realized the profits available from this sector.Online reviews had a noticeable impact over the tourism industry, as tourists now make decisions based upon the reviews written by the tourists on travel websites. Online reviews directly or indirectly affects the economy of the country through foreign investment or through job opportunities. To process these online reviews as opinions faster, many algorithms were designed which changed the way people viewed online reviews. However, the individual results of these opinion processing algorithms were found biased or varying in some cases, which gave rise to the need of opinion ensemble techniques. In this paper three different tourism types are taken and processed the opinions of each type and analyzed the economic growth. We used opining ensembling technique to evaluate the results. The reviews are extracted from tripadvisor.in. The empirical evaluation of the extracted reviews has resulted in suggestions to improve economic growth through tourism.