WILDVIS: An Interactive Web-based AI Tool Designed for Exploring Large-scale Conversational Datasets
Artificial intelligence (AI) has revolutionized various industries with chatbots being widely used in customer service, education, and entertainment. These interactions generate huge amounts of data, providing valuable insights into user behavior and chatbot performance.
Challenges in Analyzing Chatbot Logs
Analyzing large-scale chat logs is complex, and existing tools often struggle to handle the volume and complexity of interactions. This can lead to hidden trends, system design limitations, and misuse of AI technologies.
Introducing WILDVIS
WILDVIS is an open-source tool developed by a collaborative effort of researchers. It offers interactive visualization, search, and filtering of millions of chatbot conversations, making data analysis more accessible and efficient.
Key Features and Performance
WILDVIS utilizes Elasticsearch for scalable search, precomputed embeddings, and caching mechanisms for quick visualization, and boasts remarkable efficiency in handling large-scale data. It can visualize up to 1,500 conversations in a single view while maintaining clarity and responsiveness.
Real-world Applications
WILDVIS has been instrumental in uncovering distinct patterns and anomalies in conversation data, making it a powerful tool for research into chatbot misuse, user behaviors, and topic distributions across different datasets.
Value and Practical Solutions
WILDVIS represents a significant advancement in analyzing large-scale chatbot datasets, providing powerful tools for uncovering patterns, comparing datasets, and tracking user-specific behaviors.
If you’re looking to evolve your company with AI, WILDVIS can help you stay competitive by redefining your way of work and identifying automation opportunities. For advice on AI KPI management and continuous insights into leveraging AI, connect with us at hello@itinai.com and follow our Telegram t.me/itinainews or Twitter @itinaicom.
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