We are a research institute specialized in collecting and analyzing social data. We develop advanced methodologies for processing online conversations in order to measure their dynamics, detect weak signals, and identify accelerations.
Opsci and Cluster 17 have joined forces to offer a unique opinion analysis service combining social data intelligence and clustered surveys. Our unique and proven methods allow for unprecedented acuity in flash or long-term studies.
Visual Mining
Discovering visual patterns and typologies through categorization and semiotic analysis of images and videos (memes, photos, illustrations, etc.) using machine learning.
Identifying viral images and reproductions (versioning) allows for a semiotic and statistical understanding of the most impactful visual content. This approach highlights the dominant aesthetics and imaginaries influencing contemporary visual culture. Concurrently, detecting emerging imaginaries and alternative aesthetic trends offers the opportunity to anticipate cultural shifts and adapt visual communication strategies accordingly.
Usage and applications
- DECODE
Unraveling representations and cultural codes embedded in visual content - REVEAL
Discerning the value of locations and imaginaries, identifying gaps or overlooked areas - DECIDE
Investing in lesser-known aesthetics that social networks may bring to light, defining the aesthetic and cultural codes to mobilize
Methodology
- Statistical Sorting: Leveraging supervised semantic analysis for data organization
- Automated Image Annotation: Employing CLIP for efficient image tagging and categorization
- Semantic Mapping: Creating a visual representation map based on the BERT model (under development), offering an insightful understanding of visual content and its underlying themes
Opsci et Cluster 17 s’associent pour proposer une offre inédite d’analyse de l’opinion combinant intelligence de la social data et sondages clusterisés.