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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. are used to classify the text sentiment.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The other major challenge is the labeled data bottleneck : strictly speaking, most state-of-the-art algorithms are supervised. They not only need annotated data – they need Big Labeled Data.

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. and the latter is a technique for generating data ( such as very realistic p hotographs). What happened?

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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]. In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Advances in Neural Information Processing Systems, 2020. In biology, AlphaFold 2.0 wav2vec 2.0:

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