Apr 13, 2023 · Researchers have recently proposed knowledge-based topic models for short texts to discover more coherent and meaningful topics. Every form of ...
In this paper, we propose a novel short texts topic model, named MultiKE-DMM, which combines multiple forms of knowledge and the generalized P o ´ lya urn (GPU) ...
Online topic modeling vs Training on a subset for large datasets #1042
github.com › BERTopic › issues
Feb 24, 2023 · Is it better to use online topic modeling and try to find a value of K that reflects the characteristics of the dataset, or does it make more ...
Short text classification improved by learning multi-granularity topics. In ... Leveraging multi-domain prior knowledge in topic models. In IJCAI, 2013 ...
Apr 30, 2015 · The value of word embeddings in topic modeling of short documents is perhaps most evident from an example where a short tweet(document) like ...
Jan 10, 2023 · OpenAI's text-embedding-ada-002 model just came out so I'm wondering if that's the best option now. Other topic modeling implementations:.
Jan 14, 2023 · Over this time, my understanding of whether I should or can use fine-tuning to introduce new knowledge has flip-flopped several times. I have ...
Such models merge short texts into long pseudo-documents to extract the hidden topics and assist in enhancing word co-occurrence information as well as to some ...
People also ask
What is short text topic modeling?
What is the difference between embedding and topic modeling?
What is LDA topic modeling for text classification?
What is the best topic modeling algorithm?
Multi-knowledge Embeddings Enhanced Topic Modeling for Short Texts. J. He, J. Chen, and M. Li. ICONIP (3), volume 13625 of Lecture Notes in Computer Science ...
Mar 31, 2022 · I have a problem where I am using topic modelling and taking into consideration LDA & LSA approaches however have found that some of the topics ...