Natural Language Processing (NLP)
The AI identifies keywords and phrases related to solar energy across a wide range of online sources using NLP techniques.
This tool provides select solar developers with insight into solar project momentum and community adoption.
The term "community sentiment" encompasses the collective emotions, opinions, and attitudes of local communities towards solar power development projects in their region.
Transect's solar sentiment insights leverages cutting-edge AI tools to assess public sentiment towards solar energy.
Solar developers in Transect's beta testing group for the tool are empowered to use this information to make more informed decisions regarding:
Solar energy initiatives
Outreach
Policy development
The AI identifies keywords and phrases related to solar energy across a wide range of online sources using NLP techniques.
Advanced sentiment analysis algorithms categorize sentiment as positive, negative, or neutral, based on the content's language.
Machine learning models continuously track sentiment trends over time, allowing developers to gauge public perception and make informed decisions.