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Data Analysis and Knowledge Discovery  2020, Vol. 4 Issue (7): 96-109    DOI: 10.11925/infotech.2096-3467.2020.0232
Current Issue | Archive | Adv Search |
Classification of Academic Papers for Periodical Selection
Wang Xinyun,Wang Hao(),Deng Sanhong,Zhang Baolong
Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023, China;Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing 210023, China
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Abstract  

[Objective] We constructed a hierarchical system for papers published by academic journals and proposed submission guidance based on the similarity between articles and journals.[Methods] We studied journals in the field of Library and Information Science and used hierarchical clustering to construct two-layer architecture. Then, we employed SVM, CNN, and RNN to classify these papers. Third, we compared the results of different characteristic combinations, and selected the most suitable algorithm. To optimize the classification results, we combined the journals with similar coverage.[Results] Once the characteristic combinations were more reflective to the article contents, we got the highest accuracy of 81.84%.[Limitations] The data size needs to be expanded.[Conclusions] The deep learning algorithm does a better job in classification than the machine learning algorithm. Combining journals with similar contents improves the classification results.

Key wordsJournal Classification      Hierarchical Classification Model      Deep Learning      SSCI Journals      Classification Optimization     
Received: 22 March 2020      Published: 25 July 2020
ZTFLH:  G254  
Corresponding Authors: Wang Hao     E-mail: ywhaowang@nju.edu.cn

Cite this article:

Wang Xinyun,Wang Hao,Deng Sanhong,Zhang Baolong. Classification of Academic Papers for Periodical Selection. Data Analysis and Knowledge Discovery, 2020, 4(7): 96-109.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2020.0232     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2020/V4/I7/96

Research Framework
编号 期刊英文名 期刊名缩写 篇数
1 COLLEGE & RESEARCH LIBRARIES C&RL 770
2 EUROPEAN JOURNAL OF INFORMATION SYSTEMS EJIS 419
3 GOVERNMENT INFORMATION QUARTERLY GIQ 723
4 INFORMATION PROCESSING & MANAGEMENT IPM 707
5 INFORMATION SOCIETY IS 397
6 INFORMATION SYSTEMS JOURNAL ISJ 303
7 INFORMATION TECHNOLOGY & PEOPLE ITP 293
8 INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT IJIM 920
9 JOURNAL OF ACADEMIC LIBRARIANSHIP JAL 1 204
10 JOURNAL OF COMPUTER- MEDIATED COMMUNICATION JCMC 333
11 JOURNAL OF DOCUMENTATION JOD 647
12 JOURNAL OF HEALTH COMMUNICATION JHC 1 313
13 JOURNAL OF INFORMETRICS JOI 807
14 JOURNAL OF STRATEGIC INFORMATION SYSTEMS JSIS 238
15 JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION JAMIA 1 878
16 JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY JASIST 992
17 JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS JAIS 343
18 JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION JMLA 843
19 LEARNED PUBLISHING LP 513
20 LIBRARY & INFORMATION SCIENCE RESEARCH L&ISR 399
21 ONLINE INFORMATION REVIEW OIR 867
22 RESEARCH EVALUATION RE 369
23 SCIENTOMETRICS SCIM 3 058
24 SOCIAL SCIENCE COMPUTER REVIEW SSCR 433
25 TELECOMMUNICATIONS POLICY TP 796
26 TELEMATICS AND INFORMATICS TI 732
Retrieval Details of 26 Journals
题录项
ID 16
TIss discov|foodborn|ill|onlin|restaur|review|
KWss machin|learn|social|media|foodborn|disea|text|min|classif|
DEss unit|st|media|
ABss object|develop|system|discoveri|foodborn|ill|mention|onlin|yelp|restaur|review|use|text|classif|system|use|new|york|citi|health|mental|hygien|dohmh|monitor|yelp|foodborn|ill|complaints|materi|method|built|classifi|2|task|1|determin|if|
SO JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
An Example of Six-tuple Information in a Single Paper
Hierarchical Clustering Diagram of SSCI Journals
期刊分区 期刊缩写 期刊编号
C_1 C&RL 1
JAL 9
JOI 13
JMLA 18
LP 19
RE 22
SCIM 23
C_2 EJIS 2
ISJ 6
JSIS 14
JAIS 17
C_3 ITP 7
IJIM 8
OIR 21
TI 26
IPM 4
JOD 11
JASIST 16
L&ISR 20
C_4 IS 5
JCMC 10
SSCR 24
C_5 JHC 12
JAMIA 15
C_6 GIQ 3
TP 25
Summary of Journals from 6 Periodical Partitions
Hierarchical System of LIS English Journals Based on Bibliographic Information
特征组合 实验数据量 特征矩阵维度
TIss 6 000 6 456
TIss+KWss 5 840 8 328
TIss+ABss 5 891 14 661
TIss+KWss+DEss 5 242 8 451
TIss+KWss+DEss+ABss 5 242 14 625
Experimental Data Under Different Feature Combinations
Accuracy Statistics Based on Three Algorithms Under Different Feature Combinations
F1 of Six Journal Partitions with SVM and CNN
期刊
分区
期刊分区
下期刊数量
特征组合 实验
数据量
特征
矩阵维度
C_1 7 TIss+ABss 5 570 11 615
C_2 4 TIss+ABss 1 117 4 689
C_3 8 TIss+ABss 4 738 11 013
C_4 3 TIss+ABss 992 4 892
C_5 2 TIss+ABss 2 858 8 404
C_6 2 TIss+ABss 1 268 4 938
Experimental Data of Six Journal Partitions
Accuracy of Six Journal Partitions Based on SVM and CNN
F1 of 26 Journals Based on SVM and CNN
序号 正确期刊 预测期刊 分类
错误数
分类错误数占
错误总量的比例
分类错误总计
1 C&RL JAL 31 83.78% 37
C&RL JOI 0 0.00%
C&RL JMLA 2 5.41%
C&RL LP 0 0.00%
C&RL RE 2 5.41%
C&RL SCIM 2 5.41%
2 JAL C&RL 2 16.67% 12
JAL JOI 0 0.00%
JAL JMLA 3 25.00%
JAL LP 0 0.00%
JAL RE 0 0.00%
JAL SCIM 7 58.33%
3 JOI C&RL 0 0.00% 70
JOI JAL 0 0.00%
JOI JMLA 0 0.00%
JOI LP 0 0.00%
JOI RE 2 2.86%
JOI SCIM 68 97.14%
4 JMLA C&RL 0 0.00% 5
JMLA JAL 1 20.00%
JMLA JOI 0 0.00%
JMLA LP 0 0.00%
JMLA RE 2 40.00%
JMLA SCIM 2 40.00%
5 LP C&RL 0 0.00% 23
LP JAL 4 17.39%
LP JOI 0 0.00%
LP JMLA 1 4.35%
LP RE 5 21.74%
LP SCIM 13 56.52%
6 RE C&RL 0 0.00% 29
RE JAL 0 0.00%
RE JOI 0 0.00%
RE JMLA 2 6.90%
RE RE 0 0.00%
RE SCIM 27 93.10%
7 SCIM C&RL 0 0.00% 13
SCIM JAL 8 61.54%
SCIM JOI 2 15.38%
SCIM JMLA 0 0.00%
SCIM LP 0 0.00%
SCIM RE 3 23.08%
Wrong Classification of C_1
实验名称 期刊组合方式 重新组合后C_1期刊分区所含期刊
A 期刊C&RL和JAL进行组合视为期刊A A,JOI,JMLA,LP,RE,SCIM
B 期刊JOI和SCIM进行组合视为期刊B C&RL,JAL,B,JMLA,LP,RE
C 期刊RE和SCIM进行组合视为期刊C C&RL,JAL,JOI,JMLA,LP,C
D 期刊JOI、RE和SCIM进行组合视为期刊D C&RL,JAL,LP,JMLA,D
A+B 期刊C&RL和JAL进行组合视为期刊A,期刊JOI和SCIM进行组合,视为期刊B A,B,JMLA,LP,RE
A+C 期刊C&RL和JAL进行组合视为期刊A,期刊RE和SCIM进行组合视为期刊C A,JOI,JMLA,LP,C
A+D 期刊C&RL和JAL进行组合视为期刊A,期刊JOI、RE和SCIM进行组合视为期刊D A,D,JMLA,LP
Experimental Optimization Schemes for Different Journals Combination
Comparison of the Accuracy of Different Journals Combination
Optimized Hierarchical System of C_1
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