Aspect extraction for opinion mining with a deep convolutional neural network
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Research on the Fusion of Dependent Evidence Based on Rank Correlation Coefficient.A survey on classification techniques for opinion mining and sentiment analysisIdentifying High Quality Document–Summary Pairs through Text MatchingAuthor Profiling with Doc2vec Neural Network-Based Document EmbeddingsIntra-document and Inter-document Redundancy in Multi-document SummarizationPerSent: A Freely Available Persian Sentiment LexiconNatural language based financial forecasting: a surveyEnsemble application of ELM and GPU for real-time multimodal sentiment analysisLearning Word Representations for Sentiment AnalysisA Review of Sentiment Analysis Research in Chinese LanguageSLT-Based ELM for Big Social Data Analysis
P2860
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P2860
Aspect extraction for opinion mining with a deep convolutional neural network
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована у вересні 2016
@uk
name
Aspect extraction for opinion mining with a deep convolutional neural network
@en
Aspect extraction for opinion mining with a deep convolutional neural network
@nl
type
label
Aspect extraction for opinion mining with a deep convolutional neural network
@en
Aspect extraction for opinion mining with a deep convolutional neural network
@nl
prefLabel
Aspect extraction for opinion mining with a deep convolutional neural network
@en
Aspect extraction for opinion mining with a deep convolutional neural network
@nl
P1476
Aspect extraction for opinion mining with a deep convolutional neural network
@en
P2093
Soujanya Poria
P356
10.1016/J.KNOSYS.2016.06.009
P577
2016-09-01T00:00:00Z