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Found 5 papers, 1 papers with code
n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
In this article, the proposed n-stage LDA method, which can enable the LDA method to be used more effectively, is explained in detail.
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets
Among the Weka results, the most successful method was n-stage LDA, and the most successful algorithm was Random Forest.
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
The primary goal of ad-hoc retrieval (document retrieval in the context of question answering) is to find relevant documents satisfied the information need posted in a natural language query.
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Deep language models learning a hierarchical representation proved to be a powerful tool for natural language processing, text mining and information retrieval.
Text Embeddings for Retrieval From a Large Knowledge Base
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup.
