Understanding Subject Scores
Subject scores in Ferretly represent a normalized value when taking into consideration the proportion of flagged posts to overall posts analyzed along with the average sentiment of all posts for your subject.
The score is used to represent the sentiment and flag composition of the candidate's posts and should only be used to compare two or more candidates in a consistent and uniform manner. The user assumes responsibility for analyzing the subject's posts and ultimately making a hiring determination based on their own criteria.
Subject Score Ranges
Subject scores in Ferretly range from 0 to 1000 and represent the proportion of flagged posts to overall posts analyzed combined with overall sentiment.
It's important to note that subject scores are relative and should be interpreted in context, considering factors such as the subject's industry, role, and specific circumstances.
Scores show as a subject status and in subject reports. Scores are usually color coded with a solid background. Dark red indicates a low score, orange a medium score, and dark green a high score.
Calculating Subject Scores
Ferretly calculates subject scores by analyzing various factors, including the content, sentiment, and behaviors associated with a subject's social media posts. The system employs advanced algorithms and machine learning techniques to assess the likelihood of certain behaviors present in the subject's online persona.