An Unsupervised Approach of Truth Discovery From Multi-Sourced Text Data

An Unsupervised Approach of Truth Discovery From Multi-Sourced Text Data

Truth discovery methods aim to identify which piece of information is trustworthy from multi-sourced data. Most existing truth discovery methods, however, are designed for structured data and fail to meet the strong need to extract trustworthy information from raw text data. More specifically, exist...

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Bibliographic Details
Main Authors: Chen Chang, Jianjun Cao, Qibin Zheng, Guojun Lv, Nianfeng Weng, Xiaoxiong Zhang, Hongmei Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data quality
truth discovery
graph convolutional network
data mining
Online Access:https://ieeexplore.ieee.org/document/8794511/

Internet

https://ieeexplore.ieee.org/document/8794511/

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