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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

Showing 376400 of 630 papers

TitleStatusHype
Towards Opinion Mining from Reviews for the Prediction of Product Rankings0
Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining0
Named Entity Recognition of Persons' Names in Arabic Tweets0
Connotation in Translation0
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis0
Squibs: Evaluation Methods for Statistically Dependent Text0
Joint prediction in MST-style discourse parsing for argumentation mining0
CT-SPA: Text sentiment polarity prediction model using semi-automatically expanded sentiment lexicon0
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models0
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets0
Deep Learning Models for Sentiment Analysis in Arabic0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies0
A Linked Data Model for Multimodal Sentiment and Emotion Analysis0
Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming0
An combined sentiment classification system for SIGHAN-80
Transferring Coreference Resolvers with Posterior Regularization0
Text Categorization as a Graph Classification Problem0
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis0
Bilingual Keyword Extraction and its Educational Application0
A Shallow Discourse Parsing System Based On Maximum Entropy Model0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines0
Sentiment and Belief: How to Think about, Represent, and Annotate Private States0
Prior Polarity Lexical Resources for the Italian Language0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification0
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes0
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