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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 151–200 of 630 papers

TitleStatusHype
A Corpus of Comparisons in Product Reviews—0
Comparing Multilingual Comparable Articles Based On Opinions—0
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques—0
Comparative Opinion Mining in Product Reviews: Multi-perspective Prompt-based Learning—0
A review corpus annotated for negation, speculation and their scope—0
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets—0
Comparative Opinion Mining: A Review—0
Complex and Precise Movie and Book Annotations in French Language for Aspect Based Sentiment Analysis—0
ComOM at VLSP 2023: A Dual-Stage Framework with BERTology and Unified Multi-Task Instruction Tuning Model for Vietnamese Comparative Opinion Mining—0
Confirmatory Aspect-based Opinion Mining Processes—0
Connotation in Translation—0
A Resource-light Approach to Phrase Extraction for English and German Documents from the Patent Domain and User Generated Content—0
Construction automatique d'un lexique de modifieurs de polarit\'e (Automatic Construction of a Contextual Valence Shifters Lexicon) [in French]—0
Construction of Emotional Lexicon Using Potts Model—0
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary—0
Context-aware Argumentative Relation Mining—0
COMFO : Corpus Multilingue pour la Fouille d’Opinions (COMFO: Multilingual Corpus for Opinion Mining)—0
Combining Argument Mining Techniques—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
Contextualized Emotion Recognition in Conversation as Sequence Tagging—0
Contingency and Comparison Relation Labeling and Structure Prediction in Chinese Sentences—0
Contrasting Objective and Subjective Portuguese Texts from Heterogeneous Sources—0
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines—0
Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish—0
Architecture of Text Mining Application in Analyzing Public Sentiments of West Java Governor Election using Naive Bayes Classification—0
A Large Wordnet-based Sentiment Lexicon for Polish—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons—0
Cross-Lingual Information to the Rescue in Keyword Extraction—0
Cross-Lingual Metaphor Detection Using Common Semantic Features—0
Cross-Lingual Mixture Model for Sentiment Classification—0
Cross-lingual Subjectivity Detection for Resource Lean Languages—0
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification—0
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining—0
CT-SPA: Text sentiment polarity prediction model using semi-automatically expanded sentiment lexicon—0
CUET-NLP@TamilNLP-ACL2022: Multi-Class Textual Emotion Detection from Social Media using Transformer—0
Classification of Consumer Belief Statements From Social Media—0
Classification of comment helpfulness to improve knowledge sharing among medical practitioners.—0
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language—0
Dataset for Aspect Detection on Mobile reviews in Hindi—0
Arabizi sentiment analysis based on transliteration and automatic corpus annotation—0
Decomposing Hashtags to Improve Tweet Polarity Classification (D\'ecomposition des « hash tags » pour l'am\'elioration de la classification en polarit\'e des « tweets ») [in French]—0
Citizens' Emotion on GST: A Spatio-Temporal Analysis over Twitter Data—0
Deep Learning Models For Multiword Expression Identification—0
Deep Learning Models for Sentiment Analysis in Arabic—0
Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications—0
Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media—0
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis—0
Detecting Negated and Uncertain Information in Biomedical and Review Texts—0
CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and Phrases—0
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