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Details

Use Case: Synapse Data Sourcing Through Our Community-Driven Approach


Objective: Synapse, a leader in chatbot, spell-check, and semantic analysis solutions for CAC40 companies, required annotated French-language data for sentiment analysis. This data needed to be categorized by sentiment type (positive, neutral, negative) and securely managed. We met this need by mobilizing our community through our mobile app, enabling efficient and scalable data collection and annotation.


How We Helped


Community-Driven Data Collection: We engaged our community to contribute French-language text through our mobile app. Participants created content based on specific prompts designed to elicit a wide range of sentiments, ensuring diverse, natural language inputs suitable for sentiment analysis.


Community-Based Annotation: The same community that provided the data also categorized it by sentiment type. Clear, app-based guidelines enabled contributors to accurately label text as positive, neutral, or negative. This approach ensured large-scale, high-quality annotation without relying on external linguists.


Secure Data Management: All data was managed securely on our platform, with end-to-end encryption and robust access controls. These measures protected user contributions and ensured compliance with enterprise-grade security requirements.


Structured Delivery: Once the data was collected and annotated, we structured it into the format required by Synapse. This ensured seamless integration into their sentiment analysis models and workflows.


Benefits


Community-Led Efficiency: By leveraging our community, we sourced and annotated large volumes of French-language data quickly and cost-effectively.


Diversity and Authenticity: The data reflected real-world language usage from diverse contributors, enhancing the robustness of Synapse’s models.


Cost-Effectiveness: Eliminating the need for specialized linguists reduced costs without compromising quality.


Security and Compliance: Our secure platform ensured that all data handling met strict enterprise standards.


Outcome

We delivered an extensive, annotated dataset tailored for Synapse’s sentiment analysis needs. This collaboration empowered Synapse to refine their semantic analysis solutions for CAC40 companies, showcasing how our community-driven approach enables enterprise-scale AI advancements efficiently and securely.