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A comprehensive comparative study on term weighting schemes for text categorization with support vector machines

Man Lan, Chew-Lim Tan, Hwee-Boon Low, Sam-Yuan Sung
<span title="">2005</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Special interest tracks and posters of the 14th international conference on World Wide Web - WWW &#39;05</a> </i> &nbsp;
The previous studies showed that term weighting schemes dominate the performance rather than the kernel functions of SVMs for the text categorization task.  ...  The binary and tf.chi representations significantly underperform the other term weighting schemes.  ...  CONCLUSIONS In this paper we reported a comparative study on several widely-used term weighting schemes with SVM-based text categorization and also proposed a newly term weighting scheme tf.rf based on  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1062745.1062854">doi:10.1145/1062745.1062854</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/LanTLS05.html">dblp:conf/www/LanTLS05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mhybco7ivfbxbjgz567xm4joe4">fatcat:mhybco7ivfbxbjgz567xm4joe4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120712160415/http://www.comp.nus.edu.sg/~tancl/publications/c2005/ijcnn05lan.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/4a/6e4ad96d9549c09c0702896ed3bfe0ea2bcfcb44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1062745.1062854"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Classification of Radiology Reports Using Neural Attention Models [article]

Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi
<span title="2017-08-22">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The experiments show that our CNN attention models outperform non-neural models, especially when trained on a larger dataset.  ...  Distinguished from previous studies, our approach embraces a double-annotated dataset and strays away from obscure "black-box" models to comprehensive deep learning models.  ...  A more recent approach in clinical and biomedical document classification relies on a CNN model proposed by Kim [20] , and leverages the CNN's convolution feature and its ability to effectively capture  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.06828v1">arXiv:1708.06828v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6fgbsyjcffaw3mtkwjrfc2xxka">fatcat:6fgbsyjcffaw3mtkwjrfc2xxka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826000436/https://arxiv.org/pdf/1708.06828v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0a/a5/0aa569f8ebe2e34474c6cc38e50416b6efd1917d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.06828v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Empirical Study of Deep Learning for Text Classification in Legal Document Review

Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao
<span title="">2018</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/faqqmambavbalpofpx3p6nntua" style="color: black;">2018 IEEE International Conference on Big Data (Big Data)</a> </i> &nbsp;
Our results showed that CNN performed better with larger volume of training dataset and should be a fit method in the text classification in legal industry.  ...  Specifically, we conducted experiments to compare deep learning results with results obtained using a SVM algorithm on the four datasets of real legal matters.  ...  Our goal of this study is first to experiment the effectiveness of deep learning method in classification and then compare the effectiveness with that of the SVM method. II.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2018.8622157">doi:10.1109/bigdata.2018.8622157</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bigdataconf/WeiQYZ18.html">dblp:conf/bigdataconf/WeiQYZ18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wgipm2g5ubbgflergi5gaelt7q">fatcat:wgipm2g5ubbgflergi5gaelt7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831104642/https://arxiv.org/ftp/arxiv/papers/1904/1904.01723.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/9e/249ef5087915031ea616d28c907cba5a25d1dd72.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2018.8622157"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Adapting Neural Text Classification for Improved Software Categorization [article]

Alexander LeClair, Zachary Eberhart, Collin McMillan
<span title="2018-06-15">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a set of adaptations to a state-of-the-art neural classification algorithm and perform two evaluations: one with reference data from Debian end-user programs, and one with a set of C/C++ libraries  ...  We show that our proposed approach achieves performance exceeding that of previous software classification techniques as well as a state-of-the-art neural text classification technique.  ...  Any opinions, findings, and conclusions expressed herein are the authors and do not necessarily reflect those of the sponsors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.01742v2">arXiv:1806.01742v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ethgnvbjbe5zpcdhaezzux42q">fatcat:2ethgnvbjbe5zpcdhaezzux42q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930021734/https://arxiv.org/pdf/1806.01742v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8d/06/8d06fd22af0797513f5ee590934484d79b2dd6d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.01742v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning Based Text Classification: A Comprehensive Review [article]

Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
<span title="2021-01-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we provide a comprehensive review of more than 150 deep learning based models for text classification developed in recent years, and discuss their technical contributions, similarities,  ...  We also provide a summary of more than 40 popular datasets widely used for text classification.  ...  ACKNOWLEDGMENTS The authors would like to thank Richard Socher, Kristina Toutanova, and Brooke Cowan for reviewing this work, and providing very insightful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.03705v3">arXiv:2004.03705v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/al5hstylsbhfpldvokuvlpomam">fatcat:al5hstylsbhfpldvokuvlpomam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200415221309/https://arxiv.org/pdf/2004.03705v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.03705v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Text Classification Techniques: A Literature Review

<span title="">2018</span> <i title="Informing Science Institute"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/osrw7zcn3ncvrli6nbunyykxde" style="color: black;">Interdisciplinary Journal of Information, Knowledge, and Management</a> </i> &nbsp;
It further contributes to reducing the cost of the projects and supports effective decision making.  ...  Methodology: For this study, various articles written between 2010 and 2017 on "text classification techniques in AI", selected from leading journals of computer science, were analyzed.  ...  Decision trees Decision trees are highly comprehensible models when compared to neural nets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.28945/4066">doi:10.28945/4066</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6dio5bpajjf77lkrs7xdtciveu">fatcat:6dio5bpajjf77lkrs7xdtciveu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430215157/http://www.ijikm.org/Volume13/IJIKMv13p117-135Thangaraj3803.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8e/83/8e8342d11ed223cfc32392cf8054c44a4d242408.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.28945/4066"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Survey on Feature Selection Techniques and Classification Algorithms for Efficient Text Classification

<span title="2016-05-05">2016</span> <i title="International Journal of Science and Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/odv46yibm5gf7evzoopmrrqr3q" style="color: black;">International Journal of Science and Research (IJSR)</a> </i> &nbsp;
This paper surveys of text classification, several approaches of text classification, feature selection methods and applications of text classifications.  ...  Text classification is the task of assigning predefined categories to documents. The major challenge of text classification is accuracy of classifier and high dimensionality of feature space.  ...  K-Nearest Neighbor K-NN is a non-parametric method used for classification. The output of KNN classification is a class membership.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21275/v5i5.nov163675">doi:10.21275/v5i5.nov163675</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t3kxmb3kujgovoq4kh4os7oore">fatcat:t3kxmb3kujgovoq4kh4os7oore</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603162009/https://www.ijsr.net/archive/v5i5/NOV163675.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ef/2f/ef2f62fa91eb31fe455d7e4d25a83f0ad437a935.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21275/v5i5.nov163675"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code) [article]

Subramaniam Kazhuparambil
<span title="2020-07-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, volume of comments coupled with spam and limited tools for comment classification makes it virtually impossible for a creator to go through each and every comment and gather constructive feedback  ...  Automatic classification of comments is a challenge even for established classification models, since comments are often of variable lengths riddled with slang, symbols and abbreviations.  ...  Section 5 sheds light on the challenges faced and discusses implications of the achieved results. Finally, Section 6 describes the main conclusion and offers suggestions for future work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.04249v3">arXiv:2007.04249v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ybtcazsgmzaidgbkgachlriioy">fatcat:ybtcazsgmzaidgbkgachlriioy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200730082721/https://arxiv.org/pdf/2007.04249v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.04249v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension

Yichun Yin, Yangqiu Song, Ming Zhang
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</a> </i> &nbsp;
In this paper, we model the task as a machine comprehension problem where pseudo questionanswer pairs are constructed by a small number of aspect-related keywords and aspect ratings.  ...  We adopt a hierarchical architecture to represent both word level and sentence level information, and use the attention operations for aspect questions and documents alternatively with the multiple hop  ...  We also analyze the effects of num-bers of the hop and aspect words on performances. Moreover, a case study for attention results is performed at both word and sentence levels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d17-1217">doi:10.18653/v1/d17-1217</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/YinSZ17.html">dblp:conf/emnlp/YinSZ17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kacxfsd3snezhfd6eeclwrx7vi">fatcat:kacxfsd3snezhfd6eeclwrx7vi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306112231/https://www.aclweb.org/anthology/D17-1217.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2b/63/2b6384bfa90dd68ff49335e75c825d667c654165.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d17-1217"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Large-Scale Text Classification Using Scope-Based Convolutional Neural Network: A Deep Learning Approach

Jiaying Wang, Yaxin Li, Jing Shan, Jinling Bao, Chuanyu Zong, Liang Zhao
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Text classification is one of the most important and typical tasks in Natural Language Processing (NLP) which can be applied for many applications.  ...  Recently, deep learning approaches has shown their advantages in solving text classification problem, in which Convolutional Neural Network (CNN) is one of the most successful model in the field.  ...  We verify the effectiveness of the method by conducting experimental study on eight real text datasets, and compare our proposed model with the existing state-of-the-art approaches.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2955924">doi:10.1109/access.2019.2955924</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/34k3whbalrgaflsj7ejbpmwqwy">fatcat:34k3whbalrgaflsj7ejbpmwqwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191208201125/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08913565.pdf?tp=&amp;arnumber=8913565&amp;isnumber=8600701&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/81/bb812286f80936665348dcd1b2b9174da28ce6af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2955924"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification [article]

Pengfei Gao, Jingpeng Zhao, Yinglong Ma, Ahmad Tanvir, Beihong Jin
<span title="2022-04-18">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
First, we present a novel approach to learning the joint embeddings based on parent category labels and textual data for accurately capturing the joint features of both category labels and texts.  ...  At last, the comprehensive analysis is made based on extensive experiments in comparison with the state-of-the-art hierarchical and flat multi-label text classification approaches over two benchmark datasets  ...  HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification 27 They have no conflicts of interest to declare that are relevant to the content of this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.08115v1">arXiv:2204.08115v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/drutc57uvbdfnm3bpun6o53tx4">fatcat:drutc57uvbdfnm3bpun6o53tx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220423210405/https://arxiv.org/ftp/arxiv/papers/2204/2204.08115.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/ef/29efd265d3a6e2985dab8d731a61e71729a1d9af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.08115v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Efficient Large-Scale Multi-Modal Classification [article]

D. Kiela, E. Grave, A. Joulin, T. Mikolov
<span title="2018-02-06">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Here, we examine multi-modal classification where one modality is discrete, e.g. text, and the other is continuous, e.g. visual representations transferred from a convolutional neural network.  ...  Our results show that fusion with discretized features outperforms text-only classification, at a fraction of the computational cost of full multi-modal fusion, with the additional benefit of improved  ...  Acknowledgments We thank the reviewers for their comments and our colleagues at FAIR for their feedback and support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.02892v1">arXiv:1802.02892v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6u7o5p3w65elfj4lxdp52v7sty">fatcat:6u7o5p3w65elfj4lxdp52v7sty</a> </span>
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Deep Learning-based Sentiment Classification: A Comparative Survey

Mohammed Kayed, Rebeca P. Diaz Redondo, Alhassan Mabrouk
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
The paper is a comprehensive literature-based survey that compares the performance of more than 100 DL-based SC approaches by using 21 public datasets of reviews given by customers within three specific  ...  The comparison explains how the proposed factors quantitatively affect the performance of the studied DL-based SC approaches.  ...  Therefore, this paper provides a comparative and a comprehensive literature-based survey for the existing DL approaches that are suggested to solve the task of SC.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2992013">doi:10.1109/access.2020.2992013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fos2ltl4gzc7tmtzp7w4rzrxye">fatcat:fos2ltl4gzc7tmtzp7w4rzrxye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103055002/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085334.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/bf/d9bff2f81d267b3bd184ffc5df63e77abd99cb46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2992013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Deep Learning for Technical Document Classification [article]

Shuo Jiang, Jie Hu, Christopher L. Magee, Jianxi Luo
<span title="2022-02-19">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Prior studies have only focused on processing text for classification, whereas technical documents often contain multimodal information.  ...  We applied the architecture to a large multimodal technical document database and trained the model for classifying documents based on the hierarchical International Patent Classification system.  ...  Science Foundation of China (52035007, 51975360), Special Program for Innovation Method of the Ministry of Science and Technology, China (2018IM020100), National Social Science Foundation of China (17ZDA020  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.14269v5">arXiv:2106.14269v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e4ij24tlvbhlbagu4cqvf54fxu">fatcat:e4ij24tlvbhlbagu4cqvf54fxu</a> </span>
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When classification accuracy is not enough: Explaining news credibility assessment

Piotr Przybyła, Axel J. Soto
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
In this work, we use two machine learning approaches for computing a credibility score for any given news story: one is a linear method trained on stylometric features and the other one is a recurrent  ...  A B S T R A C T Dubious credibility of online news has become a major problem with negative consequences for both readers and the whole society.  ...  Acknowledgements This work was supported by the Polish National Agency for Academic Exchange through a Polish Returns grant number PPN/PPO/2018/1/00006 and a computing grant number 447 at the Poznan Supercomputing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2021.102653">doi:10.1016/j.ipm.2021.102653</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y54onmjgejd5biglkudo4ar35y">fatcat:y54onmjgejd5biglkudo4ar35y</a> </span>
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