Author Profile Prediction Using Trend and Word Frequency Based Analysis in Text
نویسنده
چکیده
PAN 2017 Author Profiling task include two target predictions, one is to predict the gender of text authors and second is to predict the language variety. The presented approach analyzed trends and topics followed in training dataset e.g. Authors discussing Politics, Tech, Religion, Nature etc. in their respective tweets. Along with that single words and word pair frequencies were also taken into account. A cross-lingual, general, simple and flexible approach was created that could be applied over all languages without any changes according to each task language.
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