  We propose a text classification tool based on support vector machines for
the assessment of organizational leadership styles, as appearing to Twitter
users. We collected Twitter data over 51 days, related to the first 30 Italian
organizations in the 2015 ranking of Forbes Global 2000-out of which we
selected the five with the most relevant volumes of tweets. We analyzed the
communication of the company leaders, together with the dialogue among the
stakeholders of each company, to understand the association with perceived
leadership styles and dimensions. To assess leadership profiles, we referred to
the 10-factor model developed by Barchiesi and La Bella in 2007. We maintain
the distinctiveness of the approach we propose, as it allows a rapid assessment
of the perceived leadership capabilities of an enterprise, as they emerge from
its social media interactions. It can also be used to show how companies
respond and manage their communication when specific events take place, and to
assess their stakeholder's reactions.
