Fine-grained opinion identification and polarity classification of Covid-19 tweets in Portuguese.

An automatic opinion implicit and explicit aspect identification and clustering tool for aspect-based opinion mining / sentiment analysis applications. Opcluster-PT also allows the customization for other languages, being minimally necessary a lexical language resource as such as WordNet, deverbal, foreign, diminutive and enhancing Lexicon. OpCl…

This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.

Multilabel Aspect Prediction using Graph Convolutional Networks

FinABSA is a T5-Large model trained for Aspect-Based Sentiment Analysis specifically for financial domains.

Lexicon-based Sentiment Analysis for Economic and Financial Applications in R

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (EMNLP'19)

Implement a classifier that predicts opinion polarities (positive, negative or neutral) for given aspect terms in sentences.

[AAAI 2019] A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Target-dependent Sentiment Classification with BERT

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

Srouce code for SIGIR 2023 paper

Targeted Aspect-based Sentiment Analysis for Indonesian

Project on detecting Review-sentiment for the M906 - Programming course, NKUA, Spring 2023

[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

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

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Can ChatGPT really understand the opinions, sentiments, and emotions contained in the text? We provide a preliminary evaluation.

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)