Explore Kanji Relationships with Graphs and AI

Summary

The Neo4j server announcement invites the community to a webinar on exploring Japanese Kanji relationships using word embeddings, cosine similarity, clustering, and graph analysis. Taking place April 30 at 09:00 am PT and 18:00 CEST, the session connects AI techniques with practical graph exploration.

๐Ÿ—ฃ๏ธ TALK ALERT for GraphGeeks
๐Ÿˆ‚๏ธ Decoding Kanji Relationships
๐Ÿ“… April 30th
๐Ÿ•˜ 09:00 am PT | 18:00 CEST
๐Ÿ”— Registration ๐Ÿ‘‰ https://live.zoho.com/eVomDfvMLM ๐Ÿ‘ˆ

Let's dive into a fusion of word embeddings, similarity measures, and graph exploration! Join Michelle Yi to explore the world of Japanese Kanji using an approach similar to density-based clustering on top of word embeddings and cosine similarity. This approach allows us to look at the relationship between concepts and also enables graph analysis.

Michelle has over 15 years of experience in the technology industry, contributed to the original IBM Watson showcased on Jeopardy, and enjoys building and leading teams that develop and deploy AI solutions to solve real-world problems.

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