Semantic Search For Geospatial
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Analyzing Social Media Data with Deep Learning Models and Embeddings
The chapter delves into the structure of social media data on platforms like Instagram and Twitter, explaining how text, images, and geospatial references are organized in JSON format. It discusses using deep learning models and embeddings to convert text into numerical representations for analysis, exploring the concept of dimensions in vector embeddings and how deep learning models can capture the meaning of input data. The chapter concludes with an example of creating a search engine for social media posts using embeddings for semantic search in geospatial analysis.
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