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Opinion Mining

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

Papers

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Showing 11–20 of 630 papers

TitleStatusHype
Identification of emotions on Twitter during the 2022 electoral process in Colombia—0
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
Opinion Mining Using Pre-Trained Large Language Models: Identifying the Type, Polarity, Intensity, Expression, and Source of Private StatesCode0
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond—0
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse—0
Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews—0
Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification FrameworkCode0
ComOM at VLSP 2023: A Dual-Stage Framework with BERTology and Unified Multi-Task Instruction Tuning Model for Vietnamese Comparative Opinion Mining—0
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications—0
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