Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
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Updated
Dec 23, 2022 - Python
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
Sentiment Analysis Using Bert Transformer
Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.
I took as input a Pokemon's many Pokedex entries and used the text to try to predict the Pokemon's type.
The main objective of sentiment analysis is the use of natural language processing (NLP) techniques to gain insights from the sentiments of customer reviews, in this case from the fine food products listed on Amazon.
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
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