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We were looking for solutions to our clients’ needs for social media monitoring and analysis. We found many technical solutions that provided data but could not allow for human sarcasm, vernacular, industry jargon, spelling errors, abbreviations, etc., and so provided inaccurate or irrelevant analysis. If someone tweets “I’d kill for a Cadbury chocolate” it would be scored as a negative when in fact it is a positive. We realised that to provide a genuine understanding of how a brand, product, or person was being positioned online we had to have a human being evaluate, analyse, and score every feed individually.