@sbuccini This is the exact problem we have solved with our "influencer search" mode. There, we show you influencers based on keywords in content they've shared. :) Not based on their bio text. Though to do, but solves the exact problem you're talking about!
This approach is also flawed, as people tend to share different type of content at different times. The same person may be tweeting about a specific conference they attends to, commenting some breaking news or their holidays, etc. They may also change their interest over the course of time.
I created an influencers analytics solution some years ago (tribalytics.com), and Social Network Analysis (SNA) applied to people's followers got us much better results: Instead of analyzing a twitter user's bio, we would also cluster their followers into communities (according to how they follow each other), then summarize each community's characteristics. This gave us multiple accurate segments allowing to qualify a person
e.g.:
* 35% marketing and social media professional
* 10% foodie
* 15% kayak fan
* etc...
I'm not active anymore on this solution though, as that analysis was quite expensive and too complex for what our target customers marketers were looking for...
> Isn't AleydaSolis involved in that project? Or perhaps it's someone else...
Indeed, she participated in tribalytics for some time.
> Also who are the big leaders in the influencer search tool space these days?
I'm a bit rusty as the landscape evolves quickly, and I'm not much active anymore on the influence marketing sphere. Two actors which look relevant to me:
