xiaold4

RGAT-ABSA

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

instruction-tuning-for-absa

Top-AI-Conferences-Paper-with-Code

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

depprobe

Probing for Labeled Dependency Trees (ACL 2022) + Sorting LMs by Structure (NAACL 2022)

SPT-ABSA

Released code for「An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis」in ACL2023.

OTP4ABSA-ACL2023

Code and data for Opinion Tree Parsing for Aspect-based Sentiment Analysis(Findings of ACL2023)

BGCA

[ACL 2023] Code and Data for "Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis"

ConFEDE

DALM

CDT_ABSA

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree

PyABSA

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

OpenDelta

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

C3DA

Source code of COLING 2022 paper "A Contrastive Cross-channel Data Augmentation Framework for Aspect-based Sentiment Analysis"

VLP-MABSA

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

sentiment_pretraining

SentiX

SentiX : A Sentiment-Aware Pretrained Model for Cross-domain Sentiment Aanlysis

Targeted-SA-for-Russian-Datasets

Source code for AINL-2020 paper "Improving Results on Russian Sentiment Datasets"

ASA-WD

DAMO-ConvAI

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

UniMSE

UniSA

UniSA: Unified Generative Framework for Sentiment Analysis

MuSE

MOSEI_UMONS

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

CPAC-CNN

Decompose-CNN

CP and Tucker decomposition for Convolutional Neural Networks

SelfCrossAttn

PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-modal emotion recognition?"