Meipai Text Matters: Mining and Practice of Community Text
The talk demonstrates how Meipai, a leading Chinese short‑video community, leverages large‑scale text mining and machine‑learning techniques—ranging from anti‑spam filtering to AI‑enhanced search—to enrich captions, comments, and metadata, improve user experience, and inspire further research on text data in video platforms.
Meitu is primarily known as an image‑focused internet company, but text data also plays a crucial role in its business. Meipai, a well‑known short‑video community in China, generates millions of videos daily, producing a large volume of textual content such as comments, captions, and metadata.
The talk explores how text‑processing techniques are applied to anti‑spam efforts, how machine learning and AI are integrated into the internal search engine, and how these technologies are combined with the Meipai community to improve user experience. It also outlines the research and experimentation conducted in machine learning and text mining.
Through several case studies, the presentation walks through concrete examples, aiming to inspire the audience and provoke further thought on leveraging text data in short‑video platforms.
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