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lianrzh avatar lianrzh commented on July 19, 2024

@ajoeajoe Demo提供的是使用的示例,没有针对速度进行特别优化,建议可以根据使用场景进行处理,python API是针对C++的接口进行包装,基本保持一致,可以具体说出哪些问题?

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ajoeajoe avatar ajoeajoe commented on July 19, 2024

https://github.com/baidu/Familia/wiki/%E8%AF%AD%E4%B9%89%E5%8C%B9%E9%85%8D%E5%BA%94%E7%94%A8%E4%BB%8B%E7%BB%8D 这里有关键词抽取模块功能,但python demo里面并没提供相关demo,我想试用此功能,性能如何(是否能满足工业级别应用)

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lianrzh avatar lianrzh commented on July 19, 2024

对应添加了python关键词demo,提供了LDA跟TWE两种计算方式,分别对应document_keywords_demo.pydocument_twe_keywords_demo.py,对整个工具使用有什么建议欢迎提出,或者可以直接修改再合并进来。

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ajoeajoe avatar ajoeajoe commented on July 19, 2024

https://github.com/baidu/Familia/wiki/%E8%AF%AD%E4%B9%89%E5%8C%B9%E9%85%8D%E5%BA%94%E7%94%A8%E4%BB%8B%E7%BB%8D
我说的是上面的链接中的第二个应用案例—“文档关键词抽取”,并不是计算相似度,看了下你们的familia_wrapper.py接口,并没提供关键词抽取功能模块,可能我表述不太清晰,非常感谢你们的及时反馈。

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lianrzh avatar lianrzh commented on July 19, 2024

关键词抽取是计算每个词与文档的相关性,然后再选取topk作为关键词,你可以根据上面几个接口的输出选取适当的个数即可!

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ajoeajoe avatar ajoeajoe commented on July 19, 2024

恩。好的

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