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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 211–220 of 630 papers

TitleStatusHype
Distributed Representations for Building Profiles of Users and Items from Text Reviews—0
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations—0
DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features—0
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews—0
ECO v1: Towards Event-Centric Opinion Mining—0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference—0
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement—0
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