twitpersonality
twitpersonality implements a supervised learning approach to compute personality traits by only relying on what an individual tweets about publicly. The approach segments tweets in tokens, then it learns word vector representations as embeddings that are then used to feed a supervised learner classifier.
How to Use
twitpersonality needs to learn from examples, first thing is to read training.
Once the models are created, then you can do some tests, please refer to test
How to Cite
Carducci G., Rizzo G., Monti D., Palumbo E., Morisio M. (2018) TwitPersonality: Computing Personality Traits from Tweets Using Word Embeddings and Supervised Learning. In Information volume 9 (5), 127
Licence
Apache License, Version 2.0. More details see LICENSE