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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 501–550 of 630 papers

TitleStatusHype
Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government—0
Generating Polarity Lexicons with WordNet propagation in 5 languages—0
Harmonization of German Lexical Resources for Opinion Mining—0
Building and Modelling Multilingual Subjective Corpora—0
Opinion Mining In Hindi Language: A Survey—0
A Cascaded Approach for Social Media Text Normalization of Turkish—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
Finding Arguing Expressions of Divergent Viewpoints in Online Debates—0
Towards Cross-Domain PDTB-Style Discourse Parsing—0
Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages—0
Modelling Irony in Twitter—0
Sentiment Analysis Using Collaborated Opinion Mining—0
Joint Modeling of Opinion Expression Extraction and Attribute Classification—0
Subjectivity Classification using Machine Learning Techniques for Mining Feature-Opinion Pairs from Web Opinion Sources—0
Examining the Impact of Coreference Resolution on Quote Attribution—0
Topic Modeling with Sentiment Clues and Relaxed Labeling Schema—0
Sentiment Analysis of Hindi Reviews based on Negation and Discourse Relation—0
Construction of Emotional Lexicon Using Potts Model—0
Why Words Alone Are Not Enough: Error Analysis of Lexicon-based Polarity Classifier for Czech—0
Exploiting Domain Knowledge in Aspect Extraction—0
Automatically Detecting and Attributing Indirect Quotations—0
Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries—0
Extracting Evaluative Conditions from Online Reviews: Toward Enhancing Opinion Mining—0
Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic—0
Opinion Mining in Newspaper Articles by Entropy-Based Word Connections—0
Implicit Feature Detection via a Constrained Topic Model and SVM—0
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints—0
Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem—0
Is Twitter A Better Corpus for Measuring Sentiment Similarity?—0
The New Eye of Government: Citizen Sentiment Analysis in Social Media—0
Romanization-based Approach to Morphological Analysis in Korean SMS Text Processing—0
Sentiment Analysis in the News—0
Performance Investigation of Feature Selection Methods—0
Using Self-Organizing Maps for Sentiment Analysis—0
General Purpose Textual Sentiment Analysis and Emotion Detection Tools—0
Improving Web 2.0 Opinion Mining Systems Using Text Normalisation Techniques—0
Opinion Learning from Medical Forums—0
TwitIE: An Open-Source Information Extraction Pipeline for Microblog TextCode0
Detecting Negated and Uncertain Information in Biomedical and Review Texts—0
Automatic extraction of contextual valence shifters.—0
Sentiment Analysis of Reviews: Should we analyze writer intentions or reader perceptions?—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—0
Aspect-Oriented Opinion Mining from User Reviews in Croatian—0
Benefactive/Malefactive Event and Writer Attitude Annotation—0
Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model—0
Annotating the Interaction between Focus and Modality: the case of exclusive particles—0
An annotated corpus of quoted opinions in news articles—0
Mining Opinion Words and Opinion Targets in a Two-Stage Framework—0
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews—0
Comparing Multilingual Comparable Articles Based On Opinions—0
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