Data extraction from social media for sentiment analysis in order to predict sales and correlated items for fashion industry

Abstract

These days’ Social media is being very popular for marketing. One of the most popular social media platforms is Facebook. Most of the Fashion brand have Facebook pages. Consumer expresses their feeling using comments and emotional buttons. The user interacts with the brand page using post, like, share comments. The analyzed data can give support to decision makers to the evaluation of the customer’s feedback, identify potential customers and predict sales item for the upcoming month and predict correlated items. The purpose of this paper is to explain how to extract and prepare data collected on Facebook to perform sentiment Analysis.