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Found 5 papers, 2 papers with code
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data
We propose a rolling version of the Latent Dirichlet Allocation, called RollingLDA.
Finding Scientific Topics in Continuously Growing Text Corpora
The ever growing amount of research publications demands computational assistance for everyone trying to keep track with scientific processes.
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine
In this study, we address these challenges by using a multilingual transformer model in combination with the adapter extension to transformers, and few-shot learning methods.
Lex2Sent: A bagging approach to unsupervised sentiment analysis
Unsupervised sentiment analysis is traditionally performed by counting those words in a text that are stored in a sentiment lexicon and then assigning a label depending on the proportion of positive and negative words registered.
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs
Based on the newly proposed measure for LDA stability, we propose a method to increase the reliability and hence to improve the reproducibility of empirical findings based on topic modeling.
