Multimodal data and Deep Learning
Multimodal data and Deep Learning
Utilizing advanced deep learning techniques to analyze diverse data sources, including street view imagery, Flickr, and Google Reviews, to gain nuanced insights into urban environments.
AI + Voice-based
Color feature extraction utilizes advanced computer vision technology to accurately extract and analyze color features from images. This service can identify and calculate the colors and their distribution within an image, and extract the main colors along with their basic information (RGB and HSB values), providing a reliable foundation for applications in the field of […]
AI + image-based data
Image data from social media platforms is the most intuitive way to observe people’s interest in urban vitality, and the variety of image content on social media platforms reflects the diversity of vitality. It includes geo-referenced information that enables the visualization of the distribution of different activities in space
AI + Text-based Data
Using sentiment analysis methods, we analyzed the frequency of nouns, adjectives, and negative, neutral, and positive words in the text-based review data. We also identified the most frequently occurring key phrases, which reveal the behavioral preferences of urban residents. The degree and trend of changes in phrase frequency to some extent also reflect the preference […]