Title :
Research on text similarity computing based on word vector model of neural networks
Author :
Yuan Sun;Weikang Li;Peilei Dong
Author_Institution :
School of Information Engineering, Minzu University of China, Beijing, China
Abstract :
Text similarity computing plays an important role in natural language processing. In this paper, we build a word vector model based on neural network, and train Chinese corpus from Sohu News, World News, and so on. Meanwhile, a method of calculating the text semantic similarity using word vector is proposed. Finally, through comparing with the traditional calculation method TF-IDF, the experimental results prove the method is effective.
Keywords :
"Semantics","Neural networks","Training","Computational modeling","Information retrieval","Buildings","Linear programming"
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
Print_ISBN :
978-1-4799-8352-0
Electronic_ISBN :
2327-0594
DOI :
10.1109/ICSESS.2015.7339221
