Globalizing Pre-trained Local BERT Embedding of Text for Sentiment Analysis

Author:

Gavali Prashantkumar. M.,Shirgave Suresh K.

Publisher

Springer Nature Singapore

Reference30 articles.

1. Radford A, Narasimhan K, Salimans T, Sutskever I (2018) Improving language understanding by generative pre-training

2. Devlin J, Chang M, Lee K, Toutanova K (2019) BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, vol 1, June 2019

3. Pennington J, Socher R, Manning CD (2014) GloVe: global vectors for word representation

4. Shen Y, Liu J (2021) Comparison of text sentiment analysis based on BERT and Word2vec. In: 2021 IEEE 3rd international conference on frontiers technology of information and computer (ICFTIC), pp 144–147

5. Turney PD, Pantel P (2010) From frequency to meaning: vector space models of semantics. J Artifi Intell Res 37:141–188

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