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hiyijian avatar hiyijian commented on August 20, 2024

@wanggaohang ,你好
这个问题我没有认真的调研过。不过我猜实际效果取决于多种因素,比如参数是否都调优了,应用场景,数据规模和特点。笼统的说对比效果感觉意义不大
但我可以分享一些实战经验,
1\ doc2vec在短文本上效果较差。常常表现为无法抓住短文本的重点语义。比如在ReadMe中我展示了一个bad case: 与“遥感信息发展战略与对策”第二相似的是"我国观光果园的发展现状、存在问题与对策",这显然是由于doc2vec没有抓住句子的核心语义造成的。 所以我觉得这个东西也许要加上某种attention机制才会大放异彩。 最近没有精力关注这方面的前沿,如果你知道,请也告诉我。另一方面,在长文本上表现据报道是不错的,比如此文,但我没实际操作过
2\ 对于LDA,短文本依然存在1\中的问题,长文本效果能make sense。理论上考虑,改进的想象空间还是有的,你可以关注这个issue的进展

from doc2vec.

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