Cognitive Analytics of Apple Products from Crowdsourced Tweets

Abstract

Human cognition is stimulated with the nature and structure of our brain. The emotions expressed by the humans are heavily dependent on the brain-stimuli. The product manufacturers are showing their keen interest to know the feedback from the customers about the products. In the Internet-era, the customers are sharing their views, opinions, reviews in publicly available resources such as Online Social Networks (OSN). These reviews have correlation between their mood or emotion and the time at which the customer express their review comments in such platforms. This research is focused on identifying the emotions, as human cognition, which are expressed in a crowdsourced-tweets of Apple products. The dataset used in this research has sentiment values based on the customer reviews. Moreover, the dataset was crowdsourced to mention whether the review belongs to the Apple company or not. It is being found that there is a significant difference between the results available in the sentiment values and the results obtained by this research – cognitive analytics. It is also noted that though the sentiment values are high for some of the opinions, whereas the emotion values are neutral. The novelty of this research is to map the opinions to the eight different human cognition and also to finally find whether the opinion is positive or negative.