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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 326–350 of 630 papers

TitleStatusHype
How to Evaluate Opinionated Keyphrase Extraction?—0
Hybrid Models for Aspects Extraction without Labelled Dataset—0
Identification of emotions on Twitter during the 2022 electoral process in Colombia—0
Identifying Opinion Subgroups in Arabic Online Discussions—0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity—0
Identifying Sentiment Words Using an Optimization-based Model without Seed Words—0
Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis—0
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis—0
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network—0
Implicit Feature Detection via a Constrained Topic Model and SVM—0
Implicit Polarity and Implicit Aspect Recognition in Opinion Mining—0
Improving Minor Opinion Polarity Classification with Named Entity Analysis (L'apport des Entit\'es Nomm\'ees pour la classification des opinions minoritaires) [in French]—0
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes—0
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation—0
Improving Web 2.0 Opinion Mining Systems Using Text Normalisation Techniques—0
Inference Annotation of a Chinese Corpus for Opinion Mining—0
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets—0
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments—0
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