2011, Computational Linguistics and Deep Learning

Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

DECEMBER 26, 2023

The creation of the LSTM-based sentiment analysis model will provide a thorough method for using deep learning techniques for analyzing human sentiment from textual data, leveraging PyTorch’s flexibility and efficiency. Learning Word Vectors for Sentiment Analysis. abs/2005.03993 Andrew L. Maas, Raymond E. Daly, Peter T.

Neural Network

Neural Network Computational Linguistics NLP Natural Language Processing

The State of Multilingual AI

Sebastian Ruder

NOVEMBER 14, 2022

This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. Bender [2] highlighted the need for language independence in 2011. The Deep Learning Indaba 2022 in Tunesia. Linguistic Issues in Language Technology, 6(3), 1–26. 10 years on, little thus seems to have changed.

Natural Language Processing

Natural Language Processing NLP Computational Linguistics BERT

Artificial Intelligence Zone

Testing the Robustness of LSTM-Based Sentiment Analysis Models

The State of Multilingual AI

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