The massive acceptance of blogs and social mediaunlocks the access for consumers to express their opinions and views about thehappiness or disappointment of online shopping. Sentiments of blogs and social media are instantaneous and economically feasiblethan the traditional technique of collecting responses. Consumers in the UAE are prone to use blogs and social mediafor giving feedback and responses about the products purchased online. The research thus finds its importance in the context and uses tworesearch hypotheses to recognize the applicability of blogs and social media as a tool for online responses. Three industry sectors,electronics, fashion, and travel, are taken in the research for comprehensive analysis. Overall, 1200 responses are collected from4 blogs (based on the sector), and another 1200 responses are from 4 social media channels (Facebook, Twitter, YouTube, andInstagram). The responses are analyzed using the QDAP (Quantitative Discourse Analysis Package) dictionary in R programming. Keywords: QDAP, s-commerce, sentiment analysis, t_test, online-based-brand community (OBBC), two-tailed hypotheses test