International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.net/journal/ijis
E-mail: [email protected]
"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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[5] Research on dual-channel user portrait construction method based on DPCNN-BiGRU and attention mechanism
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[6] Inferring gender from name: a large scale performance evaluation study
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[7] An attention based multi-modal gender identification system for social media users
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[8] Investigations in Emotion Aware Multimodal Gender Prediction Systems From Social Media Data
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[9] Development of Multi-task Models for Emotion-Aware Gender Prediction
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[10] Research on gender prediction based on short texts on Chinese social platforms
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[11] Using peer-to-peer communication characteristics to improve gender prediction in electronic discourse
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[12] Detecting Suicidal Ideation from Online Texts
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[13] Gender Classification Models and Feature Impact for Social Media Author Profiling
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[14] Text-Based Gender Classification of Twitter Data using Naive Bayes and SVM Algorithm
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[15] Using homophily to analyze and develop link prediction models with deep learning framework
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[16] A multimodal author profiling system for tweets
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[17] Demographical gender prediction of Twitter users using big data analytics: an application of decision marketing
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[18] Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling.
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[19] Automating Key Phrase Extraction from Fault Logs to Support Post-Inspection Repair of Software Requirements
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[20] Multi-Label Author Profiling on Multi-Lingual Text
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[21] An Emotion-aided Gender Prediction System
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[22] К ВОПРОСУ ПРОФИЛИРОВАНИЯ ПОЛЬЗОВАТЕЛЕЙ СОЦИАЛЬНЫХ СЕТЕЙ
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[23] Modelo de aprendizaje automático para la clasificación temprana de flujos de texto aplicado a la detección de desórdenes psicológicos
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[24] Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling
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[25] Gender im Kontext von Datafizierung, Algorithmen und digitalen Medientechnologien--eine kritische Bestandsaufnahme.
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[26] Technik–Medien–Geschlecht revisited
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[27] Разработка модели прогнозирования уровня академической успеваемости студентов по цифровому следу из социальной сети: магистерская …
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[28] Technik–Medien–Geschlecht revisited. Gender im Kontext von Datafizierung, Algorithmen und digitalen Medientechnologien–eine kritische Bestandsaufnahme
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[29] Online Social Networks and Writing Styles–A Review of the Multidisciplinary Literature
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[30] Взаимосвязь образовательных достижений старшеклассников и их цифрового следа в социальной сети.
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[31] Краткосрочное прогнозирование демографических тенденций на основе данных Google trends
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[32] INTERRELATION BETWEEN ACADEMIC PERFORMANCE OF STUDENTS AND THEIR PERSONAL LEARNING ENVIRONMENT IN A SOCIAL NETWORK
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[33] Learning and Inferring User Characteristics from Online Behavior and Content
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[34] Text mining: A field of opportunities.
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[35] Sentiment Analysis as an Indicator to Evaluate Gender disparity on Sexual Violence Tweets in South Africa
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[36] Gender Classification using Twitter Text Data
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[37] Detecting Suspicious Activities of Digital Trolls During the Political Crisis
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[38] Improving User Attribute Classification with Text and Social Network Attention
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[39] Towards Identifying Humor and Author's Gender in Code-mixed Social Media Content
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[40] Gender Inference for Facebook Picture Owners
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[41] Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
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[42] Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling
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[43] Cross-Cultural Image-Based Author Profiling in Twitter
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[44] Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish
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[45] Neural Gender Prediction in Microblogging with Emotion-aware User Representation
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[46] Einleitung: Cyborgs revisited: Zur Verbindung von Geschlecht, Technologien und Maschinen
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[47] Gender Detection of Twitter Users Based on Multiple Information Sources
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[48] Twitter Homophily: Network Based Prediction of User's Occupation
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[49] Author gender identification from text using Bayesian Random Forest
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[50] A Language-independent gender classifier for Online Social Networks
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[51] Micro-blog User Profiling: A Supervised Clustering based Approach for Age and Gender Classification
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[52] تشخیص جنسیت نویسندگان از روی متون با استفاده از جنگل تصادفی بیز‎
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[53] GENDER PREDICTION USING TWITTER DATA
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[54] マイクロブログのジオタグを用いた訪問地の違いに着目したユーザ性別推定手法の提案
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[55] Interactions3: Language, Demographics, and Personality; an In-Depth Analysis of German Tweets
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[56] Emotion-based Mining for Gender Prediction in Online Social Networks
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[57] INDEPENDENT DETERMINATION OF DEMOGRAPHIC CHARACTERISTICS OF SOCIAL NETWORK USERS
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[58] A DISSERTATION SUBMITTED TO THE GRADUATE SCHOOL
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[59] Predicting user gender on social media sites using geographical information
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[60] Gender Recognition Based on Social Networks for Multimedia Production
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[61] A Study of Arabic Social Media Users—Posting Behavior and Author's Gender Prediction
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[62] Detecting Popularity of Ideas and Individuals in Online Community
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[63] 基于双通道 LSTM 模型的用户性别分类方法研究
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[64] Word representations for gender classification using deep learning
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[65] An Automatic Author Profiling from Non-Normative Lithuanian Texts
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[66] Research on User Gender Prediction of Chinese Microblog Based on Short Text Analysis
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[67] Automatinis autoriaus charakteristikų nustatymas iš lietuviško nenorminės kalbos teksto
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[68] Düzenli İfadelerin Metin İşlemede Kullanımı Üzerine Bir İnceleme
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[69] Interactions3: language, demographics, and personality: an in-depth analysis of German tweets
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[70] Multilingual SMS-based author profiling: Data and methods
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[71] Classification automatique des SMS–analyse des caractéristiques langagières de deux groupes d'âge
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[72] Humor detection in english-hindi code-mixed social media content: Corpus and baseline system
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[73] A Hybrid Model for Role-related User Classification on Twitter
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[74] What demographic attributes do our digital footprints reveal? A systematic review
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[75] Understanding People in Low Resourced Languages
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[76] МЕТОДОЛОГИЯ ПОСТРОЕНИЯ СОЦИАЛЬНО-ДЕМОГРАФИЧЕСКИХ ПРОФИЛЕЙ ПОЛЬЗОВАТЕЛЕЙ В ИНТЕРНЕТЕ
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[77] INSTRUMENT FOR DRAWING UP SOCIAL-DEMOGRAPHIC PROFILES OF WEB USERS
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[78] Effective methods to detect cyberbullying and influential spreaders in an online social network/Mohammed Ali Derhem Al Garadi
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[79] LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence.
2017
[80] Ανίχνευση φύλου στο Twitter μέσω υβριδικού αλγορίθμου μηχανικής μάθησης
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[81] An Approach for Identifying Author Profiles of Blogs
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[82] Inferring Gender of Chinese in Social Networks
ICIE 2017 Proceedings of the 6th International Conference on Information Engineering, 2017
[83] Gender Inference on Twitter in Swedish Contexts
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[84] Language-independent Gender Prediction on Twitter
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[85] Mobile recommendations based on interest prediction from consumer's installed apps–Insights from a large-scale field study
Information Systems, 2017
[86] Twitter Usage Patterns as a Predictor of User Gender
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[87] Автономное распознавание демографических атрибутов пользователей социальных сервисов
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[88] An automatic gender detection from non-normative Lithuanian texts
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[89] 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
[90] Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices
2017
[91] Gender prediction on a real life blog data set using LSI and KNN
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[92] Stylometry detection using deep learning
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[93] Effective Methods to Detect Cyberbullying and Influential Spreaders in an Online Social Network
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[94] An authomatic gender detection from non-normative Lithuanina texts
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[95] Improving Twitter gender classification using multiple classifiers
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[96] Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
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[97] Features combination for gender recognition on Twitter users
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[98] Enhanced Gender Identification through Social Media Analytics on the Cloud
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[99] Identifying Gender from SMS Text Messages
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[100] Improving Twitter Gender Classification using Multiple Classifiers⋆
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[101] Decoders for predicting author age, gender, location from short texts
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[102] 基于字矩阵交运算的 n-grams 特征选择加权算法
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[103] Gender classification of microblog text based on authorial style
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[104] Needmining: Towards Analytical Support for Service Design
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[105] Creating Extended Gender Labelled Datasets of Twitter Users
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[106] Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
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[107] An on-device gender prediction method for mobile users using representative wordsets
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[108] Evaluation and sociolinguistic analysis of text features for gender and age identification
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[109] 基于相关性及语义的n-grams特征加权算法*
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[110] Interactive Gender Inference with Integer Linear Programming.
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[111] Dimensionality Reduction of Distributed Vector Word Representations and Emoticon Stemming for Sentiment Analysis
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[112] W-POS 语言模型及其选择与匹配算法
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[115] Interactive gender inference with integer linear programming
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[116] Interactive Gender Inference in Social Media
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[117] 基于相关性及语义的 n-grams 特征加权算法
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[118] Методы построения социо-демографических профилей пользователей сети Интернет
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[122] Gender identification in Modern Greek tweets
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[124] Gender Inference for Arabic Language in Social Media
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[125] 中文微博用户性别分类方法研究
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[126] The predictive power of tweets: an exploratory study
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[127] Prediction of interest for dynamic profile of Twitter user
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[128] Short text clustering using numerical data based on n-gram
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[129] 基于粗糙集的微博用户性别识别
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[130] A robust gender inference model for online social networks and its application to LinkedIn and Twitter
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[131] Identifying Gender of Microblog Users Based on Message Mining
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[132] Определение демографических атрибутов пользователей микроблогов1
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[133] Detection of demographic attributes of microblog users
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[134] Научный руководитель
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[135] Педагогика и просвещение
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