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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 376–400 of 630 papers

TitleStatusHype
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining—0
Joint prediction in MST-style discourse parsing for argumentation mining—0
Towards the Extraction of Customer-to-Customer Suggestions from Reviews—0
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis—0
Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining—0
A quantitative analysis of gender differences in movies using psycholinguistic normatives—0
Squibs: Evaluation Methods for Statistically Dependent Text—0
CT-SPA: Text sentiment polarity prediction model using semi-automatically expanded sentiment lexicon—0
Bilingual Keyword Extraction and its Educational Application—0
Deep Learning Models for Sentiment Analysis in Arabic—0
A Linked Data Model for Multimodal Sentiment and Emotion Analysis—0
Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming—0
An combined sentiment classification system for SIGHAN-8—0
A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets—0
A Shallow Discourse Parsing System Based On Maximum Entropy Model—0
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis—0
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models—0
Sentiment and Belief: How to Think about, Represent, and Annotate Private States—0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines—0
Text Categorization as a Graph Classification Problem—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user's likes and dislikes—0
Transferring Coreference Resolvers with Posterior Regularization—0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification—0
Prior Polarity Lexical Resources for the Italian Language—0
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