Investigation of localized sentiment for a given product by analyzing tweets

Abstract

Big data analysis has a huge importance not only to students and researchers but also to small, medium and large businesses. This is mainly due to the fact that big data is almost abundant storage of critical information. Any kind of products and services that people enj oy or do not find very helpful, at least a handful of people around the world will always post about it on social media. In this paper, we have discussed a proper methodology for the utilization and interpretation of twitter data which lead to some interesting insights into the world of public opinions about the iPhone 6. We also included various feature popularities and male-and-female reactions to the product. We found mixed opinions, most of which were consistent with the general comments and opinions expressed by users.

A glimpse on big data analytics in the framework of marketing strategies

“…Users entering a certain geofence automatically trigger personalized promotion messages. A similar work evaluates the popularity of a product, namely iPhone 6, in terms of geo-spatial coordinates and gender of the user providing tweets [43]. This leads to assess correctly short period trends and consequently to adjust eventual advertisement campaigns, according to the advantages or drawbacks of the considered product.…”