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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 101–150 of 630 papers

TitleStatusHype
Exploring the Power of Romanian BERT for Dialect Identification—0
Arabizi Language Models for Sentiment Analysis—0
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining—0
Opinion Mining System for Processing Hindi Text for Home Remedies Domain—0
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer—0
Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining—0
Helping users discover perspectives: Enhancing opinion mining with joint topic models—0
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining—0
Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning—0
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue—0
Arabic Opinion Mining Using a Hybrid Recommender System Approach—0
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
Opinion-aware Answer Generation for Review-driven Question Answering in E-CommerceCode0
Learning from students' perception on professors through opinion mining—0
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments—0
The spread of COVID-19 conspiracy theories on social media and the effect of content moderationCode0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language ModelCode0
Sentiment Analysis on Customer Responses—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
Contextualized Emotion Recognition in Conversation as Sequence Tagging—0
SentiTel: TABSA for Twitter reviews on Uganda Telecoms—0
Stance Detection on Social Media: State of the Art and Trends—0
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivityCode0
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter ConversationsCode0
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis—0
SANA : Sentiment Analysis on Newspapers comments in Algeria—0
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews—0
Fine-grained Financial Opinion Mining: A Survey and Research Agenda—0
An Empirical Examination of Online Restaurant Reviews—0
Inference Annotation of a Chinese Corpus for Opinion Mining—0
Aspect-Based Sentiment Analysis as Fine-Grained Opinion Mining—0
EmoEvent: A Multilingual Emotion Corpus based on different Events—0
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language—0
Manovaad: A Novel Approach to Event Oriented Corpus Creation Capturing Subjectivity and Focus—0
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining—0
ARAACOM: ARAbic Algerian Corpus for Opinion Mining—0
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media—0
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction—0
Dataset for Aspect Detection on Mobile reviews in Hindi—0
Sentiment Analysis of German Twitter—0
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining—0
Hybrid Models for Aspects Extraction without Labelled Dataset—0
A Social Opinion Gold Standard for the Malta Government Budget 2018—0
A deep-learning framework to detect sarcasm targets—0
Mining Tweets that refer to TV programs with Deep Neural Networks—0
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health—0
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation—0
A Neural Network Component for Knowledge-Based Semantic Representations of Text—0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
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