Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.
Keras Implementation of Aspect based Sentiment Analysis
A paper list for aspect based sentiment analysis.
Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
基于ChatGPT的情感分析
DictABSA: A dictionary knowledge (entity description informations) enhanced aspect-based sentiment analysis (ABSA) code implementation
End-to-end Data Engineering portfolio covering ETL, streaming, fraud detection, and financial analytics across M-Pesa, KCB, Equity Group, Absa, and KRA — with live Streamlit dashboards.
End-to-end Multi-task Solutions for Aspect Category Sentiment Analysis (ACSA) on Vietnamese reviews, using PhoBERT as pretrained model
[EMNLP 2020] Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.
FinABSA is a T5-Large model trained for Aspect-Based Sentiment Analysis specifically for financial domains.
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Codes for the IJCAI2022 paper: Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
To associate your repository with the absa topic, visit your repo's landing page and select "manage topics."