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# Repositorio:
Este repositorio refin贸 un modelo BERT, en lenguaje Ingles, de acuerdo con el siguiente art铆culo: https://towardsdatascience.com/fine-tuning-bert-for-text-classification-54e7df642894
Para el refinamiento se utilzia una de sentimientos de peliculas bajado de kaggle: https://www.kaggle.com/code/lakshmi25npathi/sentiment-analysis-of-imdb-movie-reviews
# Limtiaci贸n:
La informaci贸n del data set de entrenamiento se limit贸 a un n煤mero de observaciones reducidas para poder correr el modelo en nuestra m谩quina local.
# Labels:
Los labels que se muestran corresponden a:
Label_0: Negative
Label_1: Positive
# Ejemplos:
*Review: One of the other reviewers has mentioned that after watching just 1 Oz episode you'll be hooked. They are right, as this is exactly what happened with me
*Predici贸n: Positive
*Review: Basically there's a family where a little boy (Jake) thinks there's a zombie in his closet & his parents are fighting all the time. This movie is slower than a soap opera... and suddenly, Jake decides to become Rambo and kill the zombie.OK, first of all when you're going to make a film you must Decide if it's a thriller or a drama! As a drama the movie is watchable. Parents are divorcing & arguing like in real life. And then we have Jake with his closet which totally ruins all the film! I expected to see a BOOGEYMAN similar movie, and instead, I watched a drama with some meaningless thriller spots. Out of 10 just for the well-playing parents & descent dialogs.
*Predici贸n: Negative
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