Social media influencers are a new breed of celebrities who wield enormous influence amongst their followers. There is a need to rank these influencers to help companies find great brand ambassadors for their products.
Built a data aggregation pipeline to extract tweets of social media influencers who have agreed to be scored by the Social IQ platform.
These tweets are then pre-processed, re-tweets are contextualised ready to be ranked.
Built a semantic indexing model using Universal Sentence Encoder (USE) to classify the tweets among 13 dimensions of social intelligence
The preprocessed tweets are ranked based on the semantic indexer model and scored. Aggregate scores of the tweets are assigned to the authors.
Built a robust dashboard to review the scores and Social IQ of the social media influencers across the Social IQ dimensions.
Built an automated pipeline to continuously aggregate, score and rank the tweets of the authors.
The live dashboard is accessible to the customers to review and make an informed judgment in selecting and assessing their brand ambassadors.