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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
Lexical Based Semantic Orientation of Online Customer Reviews and Blogs—0
Representation learning for very short texts using weighted word embedding aggregationCode0
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
Trainable Citation-enhanced Summarization of Scientific Articles—0
Classification of comment helpfulness to improve knowledge sharing among medical practitioners.—0
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—0
UWB at SemEval-2016 Task 6: Stance Detection—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines—0
TGB at SemEval-2016 Task 5: Multi-Lingual Constraint System for Aspect Based Sentiment Analysis—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection—0
NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features—0
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library—0
SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection—0
PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.—0
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
Using Data Mining Techniques for Sentiment Shifter Identification—0
DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining—0
Online shopping behavior study based on multi-granularity opinion mining: China vs. America—0
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