BERTopic默认的嵌入是sentence-transformers,默认的模型是paraphrase-MiniLM-L6-v2,也可以使用Spacy, Flair, Gensim, USE等嵌入模型。主要依赖的库:transformers, torch, sentence-transformers, 程序为 geotech-bertopic-topic-modeling.py,代表性例子:BERTopic(V0.9.0)主题模拟技术 (2)Top2Vec---Top2Vec不像BERTopi...
2 Model(BertModel) 和BERT模型有关的代码主要写在/models/bert/modeling_bert.py中,这一份代码有一千多行,包含BERT模型的基本结构和基于它的微调模型等。 下面从BERT模型本体入手分析: AI检测代码解析 class BertModel(BertPreTrainedModel): """ The model can behave as an encoder (with only self-attention...
We aim to use topic modeling, an approach for discovering clusters of related words ("topics"), to predict symptom severity and therapeutic alliance in psychotherapy transcripts, while also identifying the most important topics and overarching themes for prediction.?We analyzed 552 psychotherapy ...
《BERTopic: Neural topic modeling with a class-based TF-IDF procedure》 为了克服 Top2Vec 的缺点,BertTopic 并不是把文档和词都嵌入到同一个空间,而是单独对文档进行 embedding 编码,然后同样过降维和聚类,得到不同的主题。但在寻找主题表示时,是把同一个主题下的所有文档看成一个大文档,然后通过 c-TF-...
topic-modelingldanonnegative-matrix-factorizationhierarchical-dirichlet-processestop2vecbert-topic UpdatedJun 27, 2024 Jupyter Notebook PolunLin/Topic-model Star1 Topic model visualizationpythonpython3topicmodelingbert-topictopic-dash UpdatedJul 20, 2022 ...
nlpmachine-learningtopictransformerstopic-modelingberttopic-modelssentence-embeddingstopic-modellingldavis UpdatedMar 25, 2025 Python PaddlePaddle/ERNIE Star6.4k Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding...
Permutation Language Modeling:先给我们统一了之前语言模型的思想框架(AR or AE),再一个permutation把两者的优点结合起来,而且整体框架又回归到了AR,感觉生成模型的新SOTA指日可待。 Transformer-XL + Relative segment encoding:这个不是作者重点强调的,但却让我觉得很有用处,目前短文本的任务还好,文本一长难度就会上...
addresses these limitations using neu-ral topic modeling in an online setting. It intro-duces a new metric to quantify topic popularityover time by considering both the number ofdocuments and update frequency. This metricclassif ies topics as noise, weak, or strong sig-nals, f l agging emergin...
看到这里,熟悉主题模型(Topic Modeling)的朋友可能会发现,这个分析和主题模型有点像。不过需要指出的是,传统的主题模型算法,比如Latent Dirichlet Allocation (LDA) 和 Non-Negative Matrix Factorization (NMF)等以词频为基础的主题模型,在电影片名的分类上效果不会很好。这是因为很多电影片名都很短,我们经常见到以一两...
Text-to-Speech ModelsTransformersTensor Processing Unit (TPU)TokenizationTechniquesTopic ModelingTransfer LearningTensorFlowThe PileTest Data Set UUncertainty in Machine LearningUnsupervised Learning VVanishing and Exploding GradientsVoice CloningValidation Data Set WWinnow AlgorithmWord EmbeddingsWhisper v3Whisper ...