Neural feedback text clustering with BiLSTM-CNN-Kmeans
Y Fan, L Gongshen, M Kui, S Zhaoying - IEEE Access, 2018 - ieeexplore.ieee.org
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 …
information retrieval and text integration. Most existing studies focus on the optimization of …
An innovative approach to classify and retrieve text documents using feature extraction and Hierarchical clustering based on ontology
AR Patil, AA Manjrekar - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Data retrieval is a key process of acquiring information as per requirement. The necessity of
proper information has increased. The most basic tools which provide this service are …
proper information has increased. The most basic tools which provide this service are …
Model of Lexico-Semantic Bonds between Texts for Creating Their Similarity Metrics and Developing Statistical Clustering Algorithm
L Demidova, D Zhukov, E Andrianova, V Kalinin - Algorithms, 2023 - mdpi.com
To solve the problem of text clustering according to semantic groups, we suggest using a
model of a unified lexico-semantic bond between texts and a similarity matrix based on it …
model of a unified lexico-semantic bond between texts and a similarity matrix based on it …
A novel method to summarize and retrieve text documents using text feature extraction based on ontology
AR Patil, AA Manjrekar - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
Data retrieval is a key process of acquiring information as per requirement. Now days, the
necessity of proper information has increased. The most basic tools which provide this …
necessity of proper information has increased. The most basic tools which provide this …