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 with no code
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
We detail (i) a method of claim identification -- the task of identifying if a post title contains a claim and (ii) an opinion mining-driven evaluation framework for stance detection using LLMs.
Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews
This paper presents a comprehensive overview of the Comparative Opinion Mining from Vietnamese Product Reviews shared task (ComOM), held as part of the 10$^{th}$ International Workshop on Vietnamese Language and Speech Processing (VLSP 2023).
ComOM at VLSP 2023: A Dual-Stage Framework with BERTology and Unified Multi-Task Instruction Tuning Model for Vietnamese Comparative Opinion Mining
The ComOM shared task aims to extract comparative opinions from product reviews in Vietnamese language.
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications
It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different social media platforms.
Opinion Mining Using Population-tuned Generative Language Models
We present a novel method for mining opinions from text collections using generative language models trained on data collected from different populations.
An Integrated NPL Approach to Sentiment Analysis in Satisfaction Surveys
A key component of the research project will be the analysis of word patterns in satisfaction survey responses using NPL.
Opinion mining using Double Channel CNN for Recommender System
Much unstructured data has been produced with the growth of the Internet and social media.
What Sentiment and Fun Facts We Learnt Before FIFA World Cup Qatar 2022 Using Twitter and AI
This paper proposed an effective solution, in providing a sentiment on tweets related to the FIFA World Cup.
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews
As the e-commerce market continues to expand and online transactions proliferate, customer reviews have emerged as a critical element in shaping the purchasing decisions of prospective buyers.
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation
Emotion Recognition in Conversation~(ERC) across modalities is of vital importance for a variety of applications, including intelligent healthcare, artificial intelligence for conversation, and opinion mining over chat history.
