International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org
"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):
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[9] Technik–Medien–Geschlecht revisited. Gender im Kontext von Datafizierung, Algorithmen und digitalen Medientechnologien–eine kritische Bestandsaufnahme
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[10] Online Social Networks and Writing Styles–A Review of the Multidisciplinary Literature
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[11] Text mining: A field of opportunities.
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[12] Sentiment Analysis as an Indicator to Evaluate Gender disparity on Sexual Violence Tweets in South Africa
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[13] Gender Classification using Twitter Text Data
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[14] Detecting Suspicious Activities of Digital Trolls During the Political Crisis
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[15] Improving User Attribute Classification with Text and Social Network Attention
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[16] Towards Identifying Humor and Author's Gender in Code-mixed Social Media Content
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[17] Gender Inference for Facebook Picture Owners
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[18] Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
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[19] Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling
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[20] Cross-Cultural Image-Based Author Profiling in Twitter
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[21] Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish
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[22] Neural Gender Prediction in Microblogging with Emotion-aware User Representation
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[23] Einleitung: Cyborgs revisited: Zur Verbindung von Geschlecht, Technologien und Maschinen
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[24] Gender Detection of Twitter Users Based on Multiple Information Sources
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[25] Twitter Homophily: Network Based Prediction of User's Occupation
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[26] Author gender identification from text using Bayesian Random Forest
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[27] A Language-independent gender classifier for Online Social Networks
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[28] Micro-blog User Profiling: A Supervised Clustering based Approach for Age and Gender Classification
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[29] تشخیص جنسیت نویسندگان از روی متون با استفاده از جنگل تصادفی بیز‎
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[31] Emotion-based Mining for Gender Prediction in Online Social Networks
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[32] INDEPENDENT DETERMINATION OF DEMOGRAPHIC CHARACTERISTICS OF SOCIAL NETWORK USERS
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[34] Predicting user gender on social media sites using geographical information
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[35] Gender Recognition Based on Social Networks for Multimedia Production
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[36] A Study of Arabic Social Media Users—Posting Behavior and Author's Gender Prediction
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[37] 基于双通道 LSTM 模型的用户性别分类方法研究
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[38] An Automatic Author Profiling from Non-Normative Lithuanian Texts
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[39] Research on User Gender Prediction of Chinese Microblog Based on Short Text Analysis
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[40] Automatinis autoriaus charakteristikų nustatymas iš lietuviško nenorminės kalbos teksto
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[42] Interactions3: language, demographics, and personality: an in-depth analysis of German tweets
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[43] Multilingual SMS-based author profiling: Data and methods
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[44] Classification automatique des SMS–analyse des caractéristiques langagières de deux groupes d'âge
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[45] Humor detection in english-hindi code-mixed social media content: Corpus and baseline system
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[46] A Hybrid Model for Role-related User Classification on Twitter
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[47] What demographic attributes do our digital footprints reveal? A systematic review
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[48] Understanding People in Low Resourced Languages
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[49] МЕТОДОЛОГИЯ ПОСТРОЕНИЯ СОЦИАЛЬНО-ДЕМОГРАФИЧЕСКИХ ПРОФИЛЕЙ ПОЛЬЗОВАТЕЛЕЙ В ИНТЕРНЕТЕ
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[54] An Approach for Identifying Author Profiles of Blogs
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[55] Inferring Gender of Chinese in Social Networks
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[56] Gender Inference on Twitter in Swedish Contexts
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[57] Language-independent Gender Prediction on Twitter
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[58] Mobile recommendations based on interest prediction from consumer's installed apps–Insights from a large-scale field study
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[59] Twitter Usage Patterns as a Predictor of User Gender
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[60] Автономное распознавание демографических атрибутов пользователей социальных сервисов
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[61] An automatic gender detection from non-normative Lithuanian texts
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[62] LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence
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[63] Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices
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[64] Gender prediction on a real life blog data set using LSI and KNN
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[65] Stylometry detection using deep learning
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[66] Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
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[67] Features combination for gender recognition on Twitter users
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[68] Enhanced Gender Identification through Social Media Analytics on the Cloud
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[69] Identifying Gender from SMS Text Messages
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[70] Improving Twitter Gender Classification using Multiple Classifiers⋆
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[71] Decoders for predicting author age, gender, location from short texts
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[72] 基于字矩阵交运算的 n-grams 特征选择加权算法
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[73] Gender classification of microblog text based on authorial style
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[74] Needmining: Towards Analytical Support for Service Design
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[75] Creating Extended Gender Labelled Datasets of Twitter Users
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[76] Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
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[77] An on-device gender prediction method for mobile users using representative wordsets
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[78] Evaluation and sociolinguistic analysis of text features for gender and age identification
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[79] 基于相关性及语义的n-grams特征加权算法*
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[80] Interactive Gender Inference with Integer Linear Programming.
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[81] Dimensionality Reduction of Distributed Vector Word Representations and Emoticon Stemming for Sentiment Analysis
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[82] W-POS 语言模型及其选择与匹配算法
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[85] Interactive gender inference with integer linear programming
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[86] Interactive Gender Inference in Social Media
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[87] 基于相关性及语义的 n-grams 特征加权算法
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[88] Методы построения социо-демографических профилей пользователей сети Интернет
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[89] 스마트 기기의 다종 데이터를 이용한 사용자 성별 예측 기법
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[90] DISEÑO Y CONSTRUCCIÓN DE UN SISTEMA WEB DE ANÁLISIS DE OPINIONES EN TWITTER INTEGRANDO ALGORITMOS DE DATA MINING
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[91] Detecting portuguese and english Twitter users' gender
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[92] Gender identification in Modern Greek tweets
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[93] Gender Inference for Arabic Language in Social Media
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[94] 中文微博用户性别分类方法研究
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[95] The predictive power of tweets: an exploratory study
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[96] Prediction of interest for dynamic profile of Twitter user
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[97] Short text clustering using numerical data based on n-gram
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[98] 基于粗糙集的微博用户性别识别
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[99] A robust gender inference model for online social networks and its application to LinkedIn and Twitter
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[100] Identifying Gender of Microblog Users Based on Message Mining
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[101] Определение демографических атрибутов пользователей микроблогов1
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[102] Detection of demographic attributes of microblog users
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[103] Научный руководитель
АВ Коршунов - modis.ispras.ru, 2012
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