Abstract:

This article will explore: The importance of accuracy when it comes to social insights. Sentiment and semantic accuracy both need to be at least over 70%, while the dataset to be analysed needs to be clean of "noise" i.e. irrelevant posts. Failure to meet these conditions could not only impact the conclusions about discussion drivers online, but also the consumer sentiment toward brands.; How companies that conduct social listening & analytics can get an holistic view of their brands and product categories. Organisations can monitor their KPIs by receiving integrated analysis of tracking surveys and web listening data, and also discover correlation between trends in the volume of online posts and brand awareness, or between the Net Promoter Score and Net Sentiment Score.