13 citations · 24 across the 4 of their papers we have counts for
5 papers
n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
Nowadays, data analysis has become a problem as the amount of data is constantly increasing. In order to overcome this problem in textual data, many models and methods are used in…
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
With the development of technology, the use of social media has become quite common. Analyzing comments on social media in areas such as media and advertising plays an important ro…
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
Tolgahan Cakaloglu, Xiaowei Xu
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 lang…
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Tolgahan Cakaloglu, Xiaowei Xu
Deep language models learning a hierarchical representation proved to be a powerful tool for natural language processing, text mining and information retrieval. However, representa…
Text Embeddings for Retrieval From a Large Knowledge Base
Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup. In order to study the feasibilit…