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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
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools—0
Metaphor Identification as Interpretation—0
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—0
運用關聯分析探勘民眾關注議題與發展方向:以環保議題為例(Mining Issues of Public Concern by Association Analysis: Using Environmental Issue as an Example)[In Chinese]—0
Mining of product reviews at aspect level—0
Mining Opinion Words and Opinion Targets in a Two-Stage Framework—0
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election—0
Mining Software Quality from Software Reviews: Research Trends and Open Issues—0
Mining Tweets that refer to TV programs with Deep Neural Networks—0
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
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