Technology
Human Ecosystems uses multiple forms of technology to collect data and to process and analyze it.
To harvest data, Human Ecosystems uses:
- Web/Social: Facebook, Instagram, Twitter, TripAdvisor, search engines, online news, websites
- Sensors: sensor networks, Internet of Things, wearables, network connected devices, biomedical devices
- Wireless: wifi access points, bluetooth, beacons
- Presence: CCTV cameras, head counting systems, access systems (badges), 3D sensors (eg.: Kinect)
- Databases: SQL/NoSQL/Graph databases, legacy systems, Open Data, GIS, APIs
- Infrastructures: mobile networks, energy grids, blockchains, transactional systems
To process and analyze data and information, Human Ecosystems uses:
- Natural Language Processing: to execute semantic analysis, sentiment analysis, classifications, in 29 languages
- Emotional Analysis: to detect emotions in text, according to the Circumplex Model of Affect
- Geographic Analysis: to analyze data from the point of view of geographies, through geo-referencing, geo-coding, reverse geo-coding, to aggregate data according to places, geographical areas, regions, nations
- Named Entity Recognition: to recognize when proper names are mentioned (of people, places, brands, events)
- Network Analysis: to analyze how the elements described by the data are organized in relational and interactive networks, to comprehend topologies, flows, exchanges, over time, space and contexts
- Machine/Deep Learning: to recognize what is still unknown at the beginning of the analysis, to discover interesting topics, emergences, crisis, opportunity
- Pattern Recognition: to recognize recurring patterns in data, to identify interesting models, virtuous or vicious cycles and loops, or recurring opportunity