Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans

Neural Feedback Text Clustering With BiLSTM-CNN-Kmeans

Text clustering is a very important technique in the field of data mining. It is widely used in information retrieval and text integration. Most existing studies focus on the optimization of feature extraction methods or clustering algorithms separately. In this paper, we propose a neural feedback c...

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Bibliographic Details
Main Authors: Yang Fan, Liu Gongshen, Meng Kui, Sun Zhaoying
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Neural feedback clustering
feature extraction
text clustering
BiLSTM-CNN-Kmeans network
Online Access:https://ieeexplore.ieee.org/document/8478272/

Internet

https://ieeexplore.ieee.org/document/8478272/

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