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Evaluating deep learning models for sentiment classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Sentiment strength detection in short informal text
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Sentiment strength detection for the social web
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Provenance aware run‐time verification of things for self‐healing Internet of Things applications
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Analyzing Movie Reviews Sentiment
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Multi-lingual Text Leveling
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Machine Learning Approach for Sentiment Analysis
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Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
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Unmanaged Workflows: Their Provenance and Use
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8th International Conference on Computer Science and its Applications (CSA-16) and the 11st International Conference on Ubiquitous Information Technologies and Applications (CUTE 2016)
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A survey on classification techniques for opinion mining and sentiment analysis
inferredcites →https://doi.org/10.1016/j.asoc.2016.11.022openalex-snapshot
A sentiment classification model based on multiple classifiers
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Temporal representation for mining scientific data provenance
inferredcites →https://doi.org/10.1016/j.procs.2015.03.159openalex-snapshot
Sentiment Analysis: Measuring Opinions
inferredcites →https://doi.org/10.1016/s0019-9958(70)90409-2openalex-snapshot
A review of “perceptrons: An introduction to computational geometry≓
inferredcites →https://doi.org/10.1016/s1352-2310(97)00447-0openalex-snapshot
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
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A tutorial survey of architectures, algorithms, and applications for deep learning
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Links between Markov models and multilayer perceptrons
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Gradient-based learning applied to document recognition
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Face recognition: a convolutional neural-network approach
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Bidirectional recurrent neural networks
inferredcites →https://doi.org/10.1109/cit/iucc/dasc/picom.2015.349openalex-snapshot
Sentiment Analysis Using Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.216openalex-snapshot
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
inferredcites →https://doi.org/10.1109/icassp.2011.5947444openalex-snapshot
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Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
inferredcites →https://doi.org/10.1109/icdar.2011.229openalex-snapshot
Convolutional Neural Network Committees for Handwritten Character Classification
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966145openalex-snapshot
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis
inferredcites →https://doi.org/10.1109/mis.2016.45openalex-snapshot
How to Generate a Good Word Embedding
inferredcites →https://doi.org/10.1109/tgrs.2013.2266929openalex-snapshot
Provenance Capture and Use in a Satellite Data Processing Pipeline
inferredcites →https://doi.org/10.1109/vast.2017.8585721openalex-snapshot
Understanding Hidden Memories of Recurrent Neural Networks
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Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2017/3792805openalex-snapshot
Image Classification Using Biomimetic Pattern Recognition with Convolutional Neural Networks Features
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A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification
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Named Entity Recognition with Bidirectional LSTM-CNNs
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Handbook of Natural Language Processing
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Multi-Features Group Emotion Analysis Based on CNN for Weibo Events
inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1561/2000000039openalex-snapshot
Deep Learning: Methods and Applications
inferredcites →https://doi.org/10.1609/aaai.v29i1.9513openalex-snapshot
Recurrent Convolutional Neural Networks for Text Classification
inferredcites →https://doi.org/10.1609/icwsm.v5i1.14185openalex-snapshot
Twitter Sentiment Analysis: The Good the Bad and the OMG!
inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
inferredcites →https://doi.org/10.18653/v1/d15-1167openalex-snapshot
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/n16-1118openalex-snapshot
The Role of Context Types and Dimensionality in Learning Word Embeddings
inferredcites →https://doi.org/10.21275/v5i4.nov162724openalex-snapshot
Sentiment Classification using Machine Learning Techniques
inferredcites →https://doi.org/10.21437/interspeech.2010-646openalex-snapshot
Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling
inferredcites →https://doi.org/10.21437/interspeech.2011-242openalex-snapshot
Empirical evaluation and combination of advanced language modeling techniques
inferredcites →https://doi.org/10.21437/interspeech.2014-151openalex-snapshot
Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.4018/978-1-5225-0489-4.ch003openalex-snapshot
Dimensionality Reduction Techniques for Text Mining
inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1503.03244openalex-snapshot
Convolutional Neural Network Architectures for Matching Natural Language Sentences
inferredcites →https://doi.org/10.48550/arxiv.1511.08630openalex-snapshot
A C-LSTM Neural Network for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1606.06905openalex-snapshot
Learning text representation using recurrent convolutional neural network with highway layers
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Twitter as a Corpus for Sentiment Analysis and Opinion Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Web-Based Tool to Determine Data-Driven Insights Using Public Sentiment
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CHOpinionMiner: An unsupervised system for Chinese opinion target extraction
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Word2Sent : A new learning sentiment‐embedding model with low dimension for sentence level sentiment classification
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Machine intelligence based hybrid classifier for spam detection and sentiment analysis of SMS messages
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Performance Analysis of Embedding Methods for Deep Learning-Based Turkish Sentiment Analysis Models
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Capsule-enhanced RoBERTa for hierarchical sentiment analysis on social media texts
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Transformer-based deep learning models for the sentiment analysis of social media data
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Deep learning and multilingual sentiment analysis on social media data: An overview
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