Gender Prediction
Bleaching Text: Abstract Features for Cross lingual Gender Prediction
... Most existing work on gender prediction exploits shallow lexical information based on the linguis- tic production of the users. Few studies investi- gate deeper syntactic information (Koppel et al., 2002; ...
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Gender Prediction on Twitter Using Stream Algorithms with N Gram Character Features
... between gender, age and social ...the gender of users on Twitter using Perceptron and Naïve Bayes with selected 1 through 5-gram features from tweet ...for gender prediction to handle the ...
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Gender Prediction using Images Posted on Online Social Networks
... mainly interested in jewelry, women clothes, gardening and so on. For each user, we extract features like color, texture and shape from their collections of pins in a few different categories, such as art, cars & ...
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User’s Gender Prediction Based on Smartphone Applications Installed: Analysis from Real World Data to Simulation
... of prediction based on mobile ...the gender was predicted by logistic regression model with ...makes gender prediction based on the user's mobile phone applications’ keywords and the feedback ...
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Language independent Gender Prediction on Twitter
... for gender prediction is substantial both for the field of natural language processing where using extra-linguistic variables is currently gain- ing momentum, as well as disciplines from social sciences and ...
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Gender Prediction of Indian and Hungarian Students Towards ICT and Mobile Technology for the Real Time
... with prediction accuracy and it attained the lowest error ...the gender of the student is scored by RF which is kappa static having value ...of gender predictive ...
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Reusable workflows for gender prediction
... While deep learning approaches are gradually taking over different areas of NLP, the best approaches to AP still use more traditional classifiers and require extensive feature en- gineering (Rangel et al., 2017). This ...
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Biometric Authentication of Age and Gender prediction using GREYC Keystroke Dynamics Dataset
... Keystroke dynamics allows to authenticate individuals through their way of typing on a computer keyboard. In this study, this paper interested in static shared secret keystroke dynamics (all the users type the same ...
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Author Gender Prediction in an Email Stream Using Neural Networks
... Previous studies have primarily used batch learning methods in their research on gender identification. How- ever, for some data sets, (especially those that are in- credibly large or constantly growing) the batch ...
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Gender Prediction of Journalists from Writing Style
... Another team (Nguyen, et al., 2011) has studied text for other human properties but not the gender. They investigated manifest properties of textual messages, including latent topics, psycholinguistic features, ...
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Gender Prediction for Chinese Social Media Data
... Given short messages and associated data spar- sity, we take the additional step of investigating the role that semantic similarity methods can have in classification. The popularity of word2vec in recent years comes from ...
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Age and Gender Prediction on Health Forum Data
... We then tried content-based features, namely word unigrams, bigrams and trigrams along with character trigrams. These features worked very well in the development set. An- other type of feature that gave us good ...
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Automatic prediction of age, gender, and nationality in offline handwriting
... age, gender, and nationality, has several ...age, gender, and ...for gender prediction, 55.76% for age range prediction, and ...nationality prediction when all writers produce ...
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GenderQuant: Quantifying Mention Level Genderedness
... Labeling Gender for Mentions We illustrate our processing pipeline via the example sentence in Figure ...mention-level gender prediction, we need a dataset with identified person mentions and their ...
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Online Full Text
... the gender and predicting the gender if unspecified in the user ...offline gender prediction techniques and predicted the gender of ...
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Demographic Inference on Twitter using Recursive Neural Networks
... As shown in Table 2, GNRNN and GLSTMN perform better than the evaluated models for the task of gender prediction, with no performance gain when the depth of the tree is increased. Namely, GLSTMN d0 is the ...
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Quantitative prediction of beef quality using visible and NIR spectroscopy with large data samples under industry conditions
... and prediction. The prediction results showed that SVM has a greater potential to predict beef eating quality than PLSR, especially for the prediction of ...animal gender on beef quality ...
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Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment
... and gender, and language use (Holmes and Meyerhoff, 2003; Eckert and McConnell-Ginet, 2013; Eckert, 1997; Wagner, ...and gender as social and fluid variables (Eckert, 2012). Gender and age are shaped ...
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A Document Weighted Approach for Gender and Age Prediction Based on Term Weight Measure
... Weren et al. [18] proposed an approach in which all the training documents are indexed by information retrieval engine and the test document was treated as a query. The simple information retrieval features such as Okapi ...
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Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self reference
... der prediction and the Mean Square Error (MSE) for predicting age and depression based on P (1p), P (1p | r), and P (1p | r, c), driven from various cate- gorization ...of gender, and ridge-regression in ...
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