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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. Don’t worry, you’re not alone! Haritz Puerto is a Ph.D.

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NLP Landscape: Switzerland

NLP People

Natural Language Processing has seen some major breakthroughs in the past years; with the rise of Artificial Intelligence, the attempt at teaching machines to master human language is becoming an increasingly popular field in academia and industry all over the world.

NLP 52
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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

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 Landscape: Germany (Industry & Meetups)

NLP People

DeepL DeepL is a Cologne-based startup that utilises deep neural networks to build state-of-the-art machine translation service. spaCy spaCy is an open-source software library for advanced industrial-strength NLP, created by Explosion AI, a digital studio specialising in Artificial Intelligence and Natural Language Processing.

NLP 52
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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. As humans we do not know exactly how we learn language: it just happens.

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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.

BERT 52