John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. abs/2005.03993 Andrew L.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The analysis is based on ACL papers published since 1998 which were processed using a domain-specific ontology for the fields of NLP and Machine Learning. Toutanova (2018). Goldberg and G.

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Applied Data Science

DECEMBER 23, 2022

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. In this way, they learn what matters about the data. Who should I follow?

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The MLOps Blog

JANUARY 25, 2023

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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Sebastian Ruder

FEBRUARY 23, 2023

Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. Due to their size, fine-tuning has become expensive while alternatives, such as in-context learning are often brittle in practice. (b) Machine translation. For more resources, check out modulardeeplearning.com.

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Probably Approximately a Scientific Blog

OCTOBER 30, 2017

For example, this blog post is published in a blog that largely discusses natural language processing, so if I write "NLP", you'd know I refer to natural language processing rather than to neuro-linguistic programming. A simple way to do so, in a machine-learning based solution (i.e.

Natural Language Processing 52

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Mlearning.ai

FEBRUARY 6, 2023

The classifier currently only works on English text, but not on other languages or on code [3]. Classifiers based on neural networks are known to be poorly calibrated outside of their training data [3]. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics. [7]

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Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   Benchmarking and evaluation are the linchpins of scientific progress in machine learning and NLP. Transactions of the Association for Computational Linguistics, 9, 978–994.

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