Worldwide
Context and Issues
Masae was mandated by different actors in various geographies, from a mining operator in Democratic Republic of Congo to a global consumer goods firm established in North Africa, to analyze their reputation / brand image on social networks, and counter boycott and offensive opinion.
Solution
Masae collected and analysed over 1 year of social media textual data (Facebook, Instagram, YouTube and Twitter) mentioning the brand and related content to assess reputation / brand image quality among social media users on specific controversial topics. Masae relied on Natural Language Processing (NLP) techniques and Artificial Intelligence / Machine Learning to extract relevant topics of conversation and perform sentiment analyses.
The results of this analysis allowed Masae to formulate practical recommendations to help its client maintain their reputation / brand image on social networks and counter boycott or offensive opinion actions.
