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Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style
2017
Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
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Inspired by the TwiSty corpus and experiments , we employed the Janes corpus and its gender annotations to perform gender classification experiments on Twitter text comparing a token-based and a lemma-based ...
We present results of the first gender classification experiments on Slovene text to our knowledge. ...
Acknowledgements The work described in this paper was partially funded by the Slovenian Research Agency within the national basic research project Resources, Tools and Methods for the Research of Nonstandard ...
doi:10.18653/v1/w17-1418
dblp:conf/acl-bsnlp/VerhoevenSP17
fatcat:72c4tt26wbg5remxhc6x5mjz4y
Stress Level Assessment of an Individual using Neural Networks based on Tweets
2018
Zenodo
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In this paper, we propose a system similar to twitter that analyzes the stress level of an individual which can be viewed by the admin. ...
Stress in workplace is deteriorating both physical and mental health of an individual. It also makes the individual less productive and less efficient in work. ...
Twisty: A multilingual twitter stylometry corpus for gender and personality profiling. ...
doi:10.5281/zenodo.1732617
fatcat:y7aa6ttp2zb57n7yfmgnrvzjwy
What demographic attributes do our digital footprints reveal? A systematic review
2018
PLoS ONE
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For each of the demographic attributes identified, we provide a database containing the platforms and digital traces examined, sample sizes, accuracy measures and the classification methods applied. ...
Finally, we discuss the main research trends/findings, methodological approaches and recommend directions for future research. ...
Twisty: a Multilingual Twitter Stylometry Corpus for Gender and Personality Profiling. Proc 10th Lang Resour Eval Conf (LREC 2016). 2016; 81. Verhoeven, B., Š krjanec, I., & Pollak S. ...
doi:10.1371/journal.pone.0207112
pmid:30485305
pmcid:PMC6261568
fatcat:jo2ycsiit5a23drbbpytifn36q