Online reviews had a noticeable impact over the tourism industry, as tourists now make decisions based upon the reviews written by fellow 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. We proposed opining ensembling which mine the online reviews extracted from tripadvisor.com. The empirical evaluation of the extracted reviews has resulted in suggestions to improve economic growth through tourism.
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