"Gender Prediction on Twitter Using Stream Algorithms with N-Gram Character Features"
written by Zachary Miller, Brian Dickinson, Wei Hu,
published by International Journal of Intelligence Science, Vol.2 No.4A, 2012
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Gender Inference Based On Twitter Profiles
[2] Gender Detection of Twitter Users Based on Multiple Information Sources
Interactions Between Computational Intelligence and Mathematics Part 2, 2019
[3] Towards Identifying Humor and Author's Gender in Code-mixed Social Media Content
2019
[4] Gender Inference for Facebook Picture Owners
2019
[5] Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
2019
[6] Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling
2019
[7] Cross-Cultural Image-Based Author Profiling in Twitter
2019
[8] Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish
2019
[9] Neural Gender Prediction in Microblogging with Emotion-aware User Representation
2019
[10] Einleitung: Cyborgs revisited: Zur Verbindung von Geschlecht, Technologien und Maschinen
2019
[11] Improving User Attribute Classification with Text and Social Network Attention
2019
[12] A Hybrid Model for Role-related User Classification on Twitter
2018
[13] What demographic attributes do our digital footprints reveal? A systematic review
2018
[14] Understanding People in Low Resourced Languages
2018
[15] МЕТОДОЛОГИЯ ПОСТРОЕНИЯ СОЦИАЛЬНО-ДЕМОГРАФИЧЕСКИХ ПРОФИЛЕЙ ПОЛЬЗОВАТЕЛЕЙ В ИНТЕРНЕТЕ
2018
[16] Predicting user gender on social media sites using geographical information
MEDES 2018 Proceedings of the 10th International Conference on Management of Digital EcoSystems, 2018
[17] Gender Recognition Based on Social Networks for Multimedia Production
2018
[18] A Study of Arabic Social Media Users—Posting Behavior and Author's Gender Prediction
Cognitive Computation, 2018
[19] An Automatic Author Profiling from Non-Normative Lithuanian Texts
CEUR Workshop Proceedings, 2018
[20] Research on User Gender Prediction of Chinese Microblog Based on Short Text Analysis
2018
[21] Automatinis autoriaus charakteristikų nustatymas iš lietuviško nenorminės kalbos teksto
2018
[22] Düzenli İfadelerin Metin İşlemede Kullanımı Üzerine Bir İnceleme
2018
[23] Interactions3: language, demographics, and personality: an in-depth analysis of German tweets
2018
[24] Multilingual SMS-based author profiling: Data and methods
Natural Language Engineering, 2018
[25] Classification automatique des SMS–analyse des caractéristiques langagières de deux groupes d'âge
2018
[26] Ανίχνευση φύλου στο Twitter μέσω υβριδικού αλγορίθμου μηχανικής μάθησης
2017
[27] An Approach for Identifying Author Profiles of Blogs
Advanced Data Mining and Applications, 2017
[28] Inferring Gender of Chinese in Social Networks
ICIE 2017 Proceedings of the 6th International Conference on Information Engineering, 2017
[29] Gender Inference on Twitter in Swedish Contexts
2017
[30] Language-independent Gender Prediction on Twitter
2017
[31] Mobile recommendations based on interest prediction from consumer's installed apps–Insights from a large-scale field study
Information Systems, 2017
[32] Twitter Usage Patterns as a Predictor of User Gender
2017
[33] Автономное распознавание демографических атрибутов пользователей социальных сервисов
2017
[34] Stylometry detection using deep learning
Computational Intelligence in Data Mining, 2017
[35] An automatic gender detection from non-normative Lithuanian texts
2017
[36] LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence
Proceedings of the Second Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2017), 2017
[37] Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices
2017
[38] Gender prediction on a real life blog data set using LSI and KNN
2017
[39] Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
Computers in Human Behavior, 2016
[40] Features combination for gender recognition on Twitter users
2016
[41] Enhanced Gender Identification through Social Media Analytics on the Cloud
2016
[42] Identifying Gender from SMS Text Messages
2016
[43] Improving Twitter Gender Classification using Multiple Classifiers⋆
2016
[44] Decoders for predicting author age, gender, location from short texts
2016
[45] 基于字矩阵交运算的 n-grams 特征选择加权算法
2016
[46] Gender classification of microblog text based on authorial style
Information Systems and e-Business Management, 2016
[47] Needmining: Towards Analytical Support for Service Design
International Conference on Exploring Services Science, 2016
[48] Creating Extended Gender Labelled Datasets of Twitter Users
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
[49] Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
arXiv preprint arXiv:1604.07236, 2016
[50] An on-device gender prediction method for mobile users using representative wordsets
Expert Systems with Applications, 2016
[51] Evaluation and sociolinguistic analysis of text features for gender and age identification
2016
[52] 基于相关性及语义的n-grams特征加权算法*
2015
[53] Interactive Gender Inference with Integer Linear Programming.
2015
[54] Dimensionality Reduction of Distributed Vector Word Representations and Emoticon Stemming for Sentiment Analysis
Journal of Data Analysis and Information Processing, 2015
[55] W-POS 语言模型及其选择与匹配算法
计算机应用, 2015
[56] 基于认证用户信息的微博用户类型识别方法
计算机科学与探索, 2015
[57] TOWARDS HYBRID CLUSTERING FOR B2CCUSTOMER SEGMENTATION: CONCEPTUAL FRAMEWORK
2015
[58] Interactive gender inference with integer linear programming
Proceedings of the 24th International Conference on Artificial Intelligence, 2015
[59] Interactive Gender Inference in Social Media
Database Systems for Advanced Applications, 2015
[60] 基于相关性及语义的 n-grams 特征加权算法
2015
[61] Методы построения социо-демографических профилей пользователей сети Интернет
2015
[62] 스마트 기기의 다종 데이터를 이용한 사용자 성별 예측 기법
2015
[63] DISEÑO Y CONSTRUCCIÓN DE UN SISTEMA WEB DE ANÁLISIS DE OPINIONES EN TWITTER INTEGRANDO ALGORITMOS DE DATA MINING
2015
[64] Detecting portuguese and english Twitter users' gender
2015
[65] Gender Inference for Arabic Language in Social Media
International Journal of Knowledge Society Research (IJKSR), 2014
[66] 中文微博用户性别分类方法研究
中文信息学报, 2014
[67] The predictive power of tweets: an exploratory study
2014
[68] Prediction of interest for dynamic profile of Twitter user
Advanced Informatics: Concept, Theory and Application (ICAICTA), 2014 International Conference of, 2014
[69] Short text clustering using numerical data based on n-gram
Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference-, 2014
[70] 基于粗糙集的微博用户性别识别
计算机应用, 2014
[71] A robust gender inference model for online social networks and its application to LinkedIn and Twitter
First Monday, 2014
[72] Identifying Gender of Microblog Users Based on Message Mining
Web-Age Information Management, Springer, 2014
[73] Определение демографических атрибутов пользователей микроблогов1
Труды Института системного программирования РАН, 2013
[74] Научный руководитель
АВ Коршунов - modis.ispras.ru, 2012