When we talk about Consumer Happiness, or “social sentiment”, we are talking about mentions of brands that contain words or phrases that are either positive or negative in nature.
Example: “I love my new iPhone” would be considered a positive tweet about iPhone and therefore be mapped back to Apple ($AAPL.)
We have a huge, proprietary universe of keywords and phrases. Some are scored more highly positive than others.
Example: “I love the new iPhone I just bought.“ would be considered a positive tweet and be scored more positive than the previous example because it contains multiple positive indications, including a consumer purchase intent mention.
The mention is scored as a whole, so multiple sentiment keywords and phrases are considered in the final tally for the mention. We score both positive and negatively.
Example: “I love my iPhone but hate that it always drops calls” would be considered a negative tweet because its negative sentiment phrases have a higher weight than its positive keyword scores.
Consumer Happiness Score
LikeFolio delivers consumer happiness mentions as three unique datasets: # of positive mentions, # of negative mentions, and % happiness
% happiness = positive mentions / (positive mentions + negative mentions)
LikeFolio Consumer Happiness Data is available in our research dashboard, and contributes to many of our opportunity alerts.
