Opinion Target Network: A Two-Layer Directed Graph for Opinion Target Extraction

2009 ◽  
pp. 93-100
Author(s):  
Yunqing Xia ◽  
Boyi Hao
Keyword(s):  
Directed Graph ◽  
Target Extraction ◽  
Target Network

Method based on directed graph and binary decision diagram to break logic loops

Kerntechnik ◽  
2019 ◽  
Vol 84 (6) ◽  
pp. 488-499
Author(s):  
S. Yuan ◽  
M. Huifang
Keyword(s):  
Directed Graph ◽  
Binary Decision Diagram ◽  
Binary Decision

Design and application of workflow modeling based on extended-directed graph

2009 ◽  
Vol 28 (9) ◽  
pp. 2437-2439 ◽  
Author(s):  
Lin LI ◽  
Zheng-yi CHAI ◽  
Li ZHANG
Keyword(s):  
Directed Graph ◽  
Workflow Modeling ◽  
Design And Application

Application of Stream Splitting Moving Target Network Defenses

2018 ◽  
Author(s):  
Joshua Klosterman ◽  
Jacob L. Williams ◽  
Michael C. Shlanta ◽  
Daniel W. Burwitz
Keyword(s):  
Moving Target ◽  
Target Network ◽  
Stream Splitting

“Opinion Target: Opinion Word” Pairs Extraction Based on CRF

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 251
Author(s):  
Yan Yan ◽  
Faguo Zhou ◽  
Yifan Ge ◽  
Cheng Liu ◽  
Jingwu Feng
Keyword(s):  
Random Field ◽  
Mobile Applications ◽  
Conditional Random Field ◽  
User Reviews ◽  
Visualization System ◽  
Target Extraction

With the spread of mobile applications and online interactive platforms, the number of user reviews are increasing explosively and becoming one of the most important ways for users to voice opinions. Opinion target extraction and opinion word extraction are two key procedures used to determine the helpfulness of reviews. In this paper, we implement a system to extract “opinion target:opinion word” pairs based on the Conditional Random Field (CRF). Firstly, we used the CRF model to extract opinion targets and opinion words, then combined these into pairs in order. In addition, Node.js was used to build a visualization system to display “opinion target:opinion word” pairs. In order to verify the effectiveness of the system, experiments were conducted on the Laptop and Restaurant datasets of SemEval-2014-task4, and the accuracy of the F value extracted by the model reached 86% and 90%, respectively. All the code and datasets for this experiment are available on GitHub.

A Graph-Theoretic Approach to Comparing and Integrating Genetic, Physical and Sequence-Based Maps

Genetics ◽  
2003 ◽  
Vol 165 (4) ◽  
pp. 2235-2247
Author(s):  
Immanuel V Yap ◽  
David Schneider ◽  
Jon Kleinberg ◽  
David Matthews ◽  
Samuel Cartinhour ◽  
...  
Keyword(s):  
Directed Graph ◽  
Source Material ◽  
Complete Picture ◽  
Theoretic Approach ◽  
Research Groups ◽  
Genome Coverage ◽  
Graph Theoretic ◽  
Novel Approach ◽  
Graph Theoretic Approach ◽  
Locus Order

AbstractFor many species, multiple maps are available, often constructed independently by different research groups using different sets of markers and different source material. Integration of these maps provides a higher density of markers and greater genome coverage than is possible using a single study. In this article, we describe a novel approach to comparing and integrating maps by using abstract graphs. A map is modeled as a directed graph in which nodes represent mapped markers and edges define the order of adjacent markers. Independently constructed graphs representing corresponding maps from different studies are merged on the basis of their common loci. Absence of a path between two nodes indicates that their order is undetermined. A cycle indicates inconsistency among the mapping studies with regard to the order of the loci involved. The integrated graph thus produced represents a complete picture of all of the mapping studies that comprise it, including all of the ambiguities and inconsistencies among them. The objective of this representation is to guide additional research aimed at interpreting these ambiguities and inconsistencies in locus order rather than presenting a “consensus order” that ignores these problems.

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