A Python package developed as a plugin for the Hydra Fast Interface (HyFI).
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Updated
Jul 16, 2024 - Python
A Python package developed as a plugin for the Hydra Fast Interface (HyFI).
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
Aspect extraction based on word embeddings
A comparative study of various methods for aspect-based sentiment analysis in the German language. Analysing generative models with large language models, relational graph attention networks and aspect-specific graph convolutional networks.
[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
FinABSA is a T5-Large model trained for Aspect-Based Sentiment Analysis specifically for financial domains.
About Aspect Based Sentiment Analysis, MindSpore Implementations. 基于方面的情感分析,使用MindSpore实现。
Codes for the IJCAI2022 paper: Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
基于ChatGPT的情感分析
The code for the paper "Fuzzy Rough Nearest Neighbour Methods for Aspect-Based Sentiment Analysis" by O. Kaminska, C. Cornelis, and V. Hoste published to the Electronics journal, particularly, the special issue AI for Text Understanding (Volume 12, 2023)
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis
FastNLP Implementation of several ABSA subtasks and models also can be found in https://gitee.com/ROGERDJQ/FastABSA.git.
This repository contains the source codes for the paper: "Aspect Sentiment Triplet Extraction using Reinforcement Learning" published at CIKM 2021.
Experimental Code and Data for the paper "Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis"
Clone and revise based on https://github.com/ROGERDJQ/RoBERTaABSA
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
Implement deep memory network used for Aspect Level Sentiment Classification
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