User Clustering on Social Media Using Language-Independent Features
Author:
Affiliation:
1. University of Sarajevo,Faculty of Electrical Engineering,Sarajevo,Bosnia and Herzegovina
2. University of Sarajevo,Faculty of Traffic and Communications,Sarajevo,Bosnia and Herzegovina
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10495918/10495919/10495924.pdf?arnumber=10495924
Reference15 articles.
1. Using Short Texts and Emojis to Predict the Gender of a Texter in Turkish
2. Age and gender in language, emoji, and emoticon usage in instant messages
3. Language-independent data set annotation for machine learning-based sentiment analysis
4. Sentiment Analysis on Twitter Data Using LSTM with Emoji Embedding
5. On the Use of URLs and Hashtags in Age Prediction of Twitter Users
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