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“Data science new perspectives: Text classification with Transformers”
A Transformer it’s not only a toy or a movie.
A Transformer is a model, used primarily in the field of NLP, that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data.
Often we find ourselves facing new problems and issues, with procedures and guidelines not yet consolidated.
The result is the need for continuous updating, inspired by an approach focused on real problems, to exploit the potential of new models that emerge in research.
Knowing how to adapt modeling choices to objectives, data and real problems is a basic skill working with innovation.
The next #InnovationLab is to experiment – under the supervision of an expert – with a different model of textual data analysis through one of the most advanced techniques of artificial intelligence