Deep learning--based text classification: a comprehensive review

S Minaee, N Kalchbrenner, E Cambria… - ACM computing …, 2021 - dl.acm.org
Deep learning--based models have surpassed classical machine learning--based
approaches in various text classification tasks, including sentiment analysis, news …

A survey of knowledge enhanced pre-trained language models

L Hu, Z Liu, Z Zhao, L Hou, L Nie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …

Unified structure generation for universal information extraction

Y Lu, Q Liu, D Dai, X Xiao, H Lin, X Han, L Sun… - arXiv preprint arXiv …, 2022 - arxiv.org
Information extraction suffers from its varying targets, heterogeneous structures, and
demand-specific schemas. In this paper, we propose a unified text-to-structure generation …

Is ChatGPT a good sentiment analyzer? A preliminary study

Z Wang, Q Xie, Y Feng, Z Ding, Z Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, ChatGPT has drawn great attention from both the research community and the
public. We are particularly interested in whether it can serve as a universal sentiment …

A survey on aspect-based sentiment analysis: Tasks, methods, and challenges

W Zhang, X Li, Y Deng, L Bing… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Sentiment analysis in the era of large language models: A reality check

W Zhang, Y Deng, B Liu, SJ Pan, L Bing - arXiv preprint arXiv:2305.15005, 2023 - arxiv.org
Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …

A comprehensive capability analysis of gpt-3 and gpt-3.5 series models

J Ye, X Chen, N Xu, C Zu, Z Shao, S Liu, Y Cui… - arXiv preprint arXiv …, 2023 - arxiv.org
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on, have gained
considerable attention due to their exceptional natural language processing capabilities …

Lasuie: Unifying information extraction with latent adaptive structure-aware generative language model

H Fei, S Wu, J Li, B Li, F Li, L Qin… - Advances in …, 2022 - proceedings.neurips.cc
Universally modeling all typical information extraction tasks (UIE) with one generative
language model (GLM) has revealed great potential by the latest study, where various IE …

Graph neural networks for natural language processing: A survey

L Wu, Y Chen, K Shen, X Guo, H Gao… - … and Trends® in …, 2023 - nowpublishers.com
Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews

H Li, XB Bruce, G Li, H Gao - Tourism Management, 2023 - Elsevier
Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …