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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 401–450 of 630 papers

TitleStatusHype
MLSA --- A Multi-layered Reference Corpus for German Sentiment Analysis—0
Modality in Text: a Proposal for Corpus Annotation—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem—0
Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model—0
Modelling Irony in Twitter—0
Modelling Representation Noise in Emotion Analysis using Gaussian Processes—0
Monday mornings are my fave :) \#not Exploring the Automatic Recognition of Irony in English tweets—0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus—0
MT2-CSD: A New Dataset and Multi-Semantic Knowledge Fusion Method for Conversational Stance Detection—0
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews—0
Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis—0
Multi-label Classification of User Reactions in Online News—0
Multimodal Named Entity Disambiguation for Noisy Social Media Posts—0
Named Entity Recognition of Persons' Names in Arabic Tweets—0
Natural Language Processing in Political Campaigns—0
Nested Named Entity Recognition Revisited—0
NILC\_USP: Aspect Extraction using Semantic Labels—0
NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features—0
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction—0
Nomao : un moteur de recherche g\'eolocalis\'e sp\'ecialis\'e dans la recommandation de lieux et l'e-r\'eputation (Nomao : a geolocalized search engine dedicated to place recommendation and e-reputation) [in French]—0
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model \& Levenshtein Distance—0
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library—0
NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture—0
oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain—0
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields—0
OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model—0
Online shopping behavior study based on multi-granularity opinion mining: China vs. America—0
Opinion and Suggestion Analysis for Expert Recommendations—0
Opinion Learning from Medical Forums—0
OpinionMine:ABayesian-based framework for opinion mining using Twitter Data—0
Opinion Mining and Analysis: A survey—0
Opinion Mining and Topic Categorization with Novel Term Weighting—0
Opinion mining from twitter data using evolutionary multinomial mixture models—0
Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals—0
Opinion Mining In Hindi Language: A Survey—0
Opinion Mining in Newspaper Articles by Entropy-Based Word Connections—0
Opinion Mining in Online Reviews About Distance Education Programs—0
Opinion Mining in Social Networks versus Electoral Polls—0
Opinion mining of movie reviews at document level—0
Opinion mining of text documents written in Macedonian language—0
Opinion Mining on Non-English Short Text—0
Opinion Mining on Offshore Wind Energy for Environmental Engineering—0
Opinion Mining on YouTube—0
Opinion Mining System for Processing Hindi Text for Home Remedies Domain—0
Opinion mining using Double Channel CNN for Recommender System—0
Opinion Mining Using Population-tuned Generative Language Models—0
Opinion Mining with Deep Contextualized Embeddings—0
Opinion Mining with Deep Recurrent Neural Networks—0
Opinion Retrieval Systems using Tweet-external Factors—0
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