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Building a Sentiment Classification System With BERT Embeddings: Lessons Learned

The MLOps Blog

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. BERT BERT stands for Bidirectional Encoder Representations from Transformers, and it's a large language model by Google.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. For each input chunk, nearest neighbor chunks are retrieved using approximate nearest neighbor search based on BERT embedding similarity. As models are scaled up, ensuring data quality at scale becomes more challenging. wav2vec 2.0:

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