BERTopic本身是为英文任务设计的,不适应于中文任务,因为英文无需分词,词与词之间天然用空格隔开,BERTopic对英文文本直接提取BERT特征,然后在空格隔开的词上找每个Topic的关键词,很便捷;对于中文来说,中文是需要分词的,如果对中文文本整体提取特征,就需要在中文的分词结果上提取每个Topic的关键词; 由于提取的是BERT特征...
Embedded Topic Model /LDA2VEC Topically-Driven-Language-Model BERTopic Image-Text Mix Topic Model ...
我建议查看reduce_outliersdocumentation。我相信您不应该在reduce_outliers中使用topic_model作为参数。
因此不可能在所有算法中获得相同的行为。因此，在创建主题模型时，将BERTopic视为由各个组件构建的东西是...
因此不可能在所有算法中获得相同的行为。因此，在创建主题模型时，将BERTopic视为由各个组件构建的东西是...
Explore and run machine learning code with Kaggle Notebooks | Using data from Amazon_Bev_Processed_Data
Inspired by these recent progress and in order to assist both job seekers and recruiters, this article proposes a bidirectional job recommendation system to analyze job offers and profiles using the two topic modeling algorithms, BERTopic combined with Latent Dirichlet Allocation (LDA). We used job...
ANTM outperforms probabilistic dynamic topic models (e.g. DTM, DETM) and significantly improves topic coherence and diversity over other existing dynamic neural topic models (e.g. BERTopic). Installation Installation can be done using: pip install antm...
BERTopic Image-Text Mix Topic Model （1）短文本主题建模的利器 ---Biterm Topic Model 从原理上说...
一、主题模型的主要任务 主题模型是用来做文档建模的，将文档转化为数值向量，数值向量的每个维度对应于一...