Opinion Mining
57 papers with code • 1 benchmarks • 10 datasets
Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)
Image Source: Deep learning for sentiment analysis: A survey
Benchmarks
These leaderboards are used to track progress in Opinion Mining
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Datasets
IMDb Movie Reviews
MPQA Opinion Corpus
UR-FUNNY
MOS Dataset
Latest papers
Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
hallie304/vlsp23-comparative-opinion-mining
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Comparative opinion mining is a specialized field of sentiment analysis that aims to identify and extract sentiments expressed comparatively.
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
stevekgyang/bhg
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However, most previous knowledge infusion methods perform empirical knowledge filtering and design highly customized architectures for knowledge interaction with the utterances, which can discard useful knowledge aspects and limit their generalizability to different knowledge sources.
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining
zekaouinoureddine/Opinion-Transformers
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Opinion mining, also known as sentiment analysis, is a subfield of natural language processing (NLP) that focuses on identifying and extracting subjective information in textual material.
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs
zekavat-itrc/sentiment-analysis
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Second, this study proposes a new architecture based on the convolutional neural network (CNN) model for more effective sentiment analysis of colloquial text in social microblog posts.
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
tunazislam/bma-fb-ad-climate
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Climate change is the defining issue of our time, and we are at a defining moment.
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
AmirAbaskohi/Persian-Emotion-Detection-using-ParsBERT-and-Imbalanced-Data-Handling-Approaches
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EmoPars and ArmanEmo are two new human-labeled emotion datasets for the Persian language.
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
unikcc/diaasq
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The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society.
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
abdelkadermh/isarcasmeval
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SemEval (NAACL) 2022
Our system\footnote{The source code of our system is available at \url{https://github. com/AbdelkaderMH/iSarcasmEval}} consists of three deep learning-based models leveraging two existing pre-trained language models for Arabic and English.
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
In this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners.
