Author Gender Prediction in an Email Stream Using Neural Networks

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
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"Author Gender Prediction in an Email Stream Using Neural Networks"
written by William Deitrick, Zachary Miller, Benjamin Valyou, Brian Dickinson, Timothy Munson, Wei Hu,
published by Journal of Intelligent Learning Systems and Applications, Vol.4 No.3, 2012

has been cited by the following article(s):

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CrossRef

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[11]	Using a Hierarchical Softmax Based on the Huffman Coding Tree for Authenticating Arabic Tweets
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[12]	A comparative study of author gender identification
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[13]	Augmenting Data Quality through High-Precision Gender Categorization
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[14]	Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
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[15]	Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish
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[17]	Automatic categorization of Arabic articles based on their political orientation
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[18]	Word Representations For Gender Classification Using Deep Learning
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[19]	스마트폰 어플리케이션 설치 목록을 이용한 사용자 특성 추론
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[20]	Predicting user gender on social media sites using geographical information
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[21]	User modeling in the domain of e-commerce
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[22]	Improving data quality through high precision gender categorization
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[23]	Twitter Usage Patterns as a Predictor of User Gender
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[24]	Feature extraction and selection for Arabic tweets authorship authentication
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[25]	Dialog Structure Through the Lens of Gender, Gender Environment, and Power
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[26]	Improving official statistics in emerging markets using machine learning and mobile phone data
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[27]	Author gender identification from Arabic text
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[30]	스마트폰 어플리케이션 설치목록을 이용한 사용자 프로파일링
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[31]	Gender classification system from offline survey data using neural networks
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[32]	Authorship Attribution of Arabic Tweets
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[33]	Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques
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[34]	An on-device gender prediction method for mobile users using representative wordsets
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[35]	Gender Prediction for Authors of Russian Texts Using Regression And Classification Techniques.
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[36]	Efficient Harmful Email Identification Using Neural Network
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[40]	On authorship authentication of Arabic articles
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[41]	Network Analysis with the Enron Email Corpus
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[42]	Social Power in Interactions
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[43]	On the Automatic Categorization of Arabic Articles Based on Their Political Orientation
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[44]	Gender and power: How gender and gender environment affect manifestations of power
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[4]	An attention based multi-modal gender identification system for social media users Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-021-11256-6

[5]	A Multimodal Author Profiling System for Tweets IEEE Transactions on Computational Social Systems, 2021 DOI:10.1109/TCSS.2021.3082942

[6]	Gender recognition using motion data from multiple smart devices Expert Systems with Applications, 2020 DOI:10.1016/j.eswa.2020.113195

[7]	An Author Gender Detection Method Using Whale Optimization Algorithm and Artificial Neural Network IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2973509

[8]	Using a Hierarchical Softmax Based on the Huffman Coding Tree for Authenticating Arabic Tweets 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), 2019 DOI:10.1109/AICCSA47632.2019.9035303

[9]	Finding the Gender of Personal Names and Finding the Effect of Gana on Personal Names with Long Short Term Memory 2019 19th International Conference on Advances in ICT for Emerging Regions (ICTer), 2019 DOI:10.1109/ICTer48817.2019.9023651

[10]	Augmenting Data Quality through High-Precision Gender Categorization Journal of Data and Information Quality, 2019 DOI:10.1145/3297720

[11]	Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish 2019 4th International Conference on Computer Science and Engineering (UBMK), 2019 DOI:10.1109/UBMK.2019.8907198

[12]	Augmenting Data Quality through High-Precision Gender Categorization Journal of Data and Information Quality, 2019 DOI:10.1145/3297720

[13]	Predicting user gender on social media sites using geographical information Proceedings of the 10th International Conference on Management of Digital EcoSystems, 2018 DOI:10.1145/3281375.3281383

[14]	Word Representations For Gender Classification Using Deep Learning Procedia Computer Science, 2018 DOI:10.1016/j.procs.2018.05.015

[15]	Word Representations For Gender Classification Using Deep Learning Procedia Computer Science, 2018 DOI:10.1016/j.procs.2018.05.015

[16]	Predicting user gender on social media sites using geographical information Proceedings of the 10th International Conference on Management of Digital EcoSystems, 2018 DOI:10.1145/3281375.3281383

[17]	Improving official statistics in emerging markets using machine learning and mobile phone data EPJ Data Science, 2017 DOI:10.1140/epjds/s13688-017-0099-3

[18]	An extensive study of authorship authentication of Arabic articles International Journal of Web Information Systems, 2017 DOI:10.1108/IJWIS-03-2016-0011

[19]	Male or female: What traits characterize questions prompted by each gender in community question answering? Expert Systems with Applications, 2017 DOI:10.1016/j.eswa.2017.08.037

[20]	Improving data quality through high precision gender categorization 2017 IEEE International Conference on Big Data (Big Data), 2017 DOI:10.1109/BigData.2017.8258223

[21]	Authorship attribution of Arabic tweets 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016 DOI:10.1109/AICCSA.2016.7945818

[22]	An on-device gender prediction method for mobile users using representative wordsets Expert Systems with Applications, 2016 DOI:10.1016/j.eswa.2016.08.002

[23]	Gender classification system from offline survey data using neural networks 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2016 DOI:10.1109/UEMCON.2016.7777806

[24]	Communication of new energy forms: Ways to detect topics and stakeholders 2015 IEEE International Professional Communication Conference (IPCC), 2015 DOI:10.1109/IPCC.2015.7235799

[25]	On authorship authentication of Arabic articles 2014 5th International Conference on Information and Communication Systems (ICICS), 2014 DOI:10.1109/IACS.2014.6841973

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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