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Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The use of bigrams to enhance text categorization
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Gradient-based learning applied to document recognition
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Convolutional neural network based triangular CRF for joint intent detection and slot filling
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Hidden factors and hidden topics
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A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
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ImageNet classification with deep convolutional neural networks
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Opinion Mining and Sentiment Analysis
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Thumbs up?
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Modeling Interestingness with Deep Neural Networks
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Convolutional Neural Networks for Sentence Classification
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#TagSpace: Semantic Embeddings from Hashtags
inferredcites →https://doi.org/10.3115/v1/p14-1032openalex-snapshot
Product Feature Mining: Semantic Clues versus Syntactic Constituents
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.3115/v1/p14-1146openalex-snapshot
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
inferredcites →https://doi.org/10.48550/arxiv.1207.0580openalex-snapshot
Improving neural networks by preventing co-adaptation of feature detectors
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.1405.4053openalex-snapshot
Distributed Representations of Sentences and Documents
inferredcites →https://doi.org/10.48550/arxiv.1409.4842openalex-snapshot
Going Deeper with Convolutions
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Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
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RCV1: A New Benchmark Collection for Text Categorization Research
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Text Convolution Network-Based Policy Uncertainty Index: An Application for China
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A Text Convolution Network-Based Policy Uncertainty Index: An Application for China
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NLP‐Based Speech Analysis Using K‐Neighbor Classifier
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Depthwise Separable Convolutional Neural Network for Confidential Information Analysis
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Title Categorization Based on Category Granularity
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Acquisition of Domain-Specific Senses and Its Extrinsic Evaluation Through Text Categorization
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Structural block driven enhanced convolutional neural representation for relation extraction
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106128openalex-snapshot
An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103145openalex-snapshot
Automatically learning construction injury precursors from text
inferred← citeshttps://doi.org/10.1016/j.cageo.2021.104869openalex-snapshot
Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China
inferred← citeshttps://doi.org/10.1016/j.chbah.2023.100026openalex-snapshot
Reading between the lines: Automatic inference of self-assessed personality traits from dyadic social chats
inferred← citeshttps://doi.org/10.1016/j.comcom.2020.04.002openalex-snapshot
Multi-source social media data sentiment analysis using bidirectional recurrent convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.csl.2025.101929openalex-snapshot
Artificial protozoa lotus effect algorithm enabled cognitive brain optimal model for sentiment analysis utilizing multimodal data
inferred← citeshttps://doi.org/10.1016/j.datak.2017.06.001openalex-snapshot
Learning multiple layers of knowledge representation for aspect based sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.diin.2016.07.001openalex-snapshot
Detecting predatory conversations in social media by deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1016/j.dsp.2021.102986openalex-snapshot
Recognition of error correcting codes based on CNN with block mechanism and embedding
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100680openalex-snapshot
Effectiveness of Teachable Machine, mobile net, and YOLO for object detection: A comparative study on practical applications
inferred← citeshttps://doi.org/10.1016/j.elerap.2020.100961openalex-snapshot
Topical classification of domain names based on subword embeddings
inferred← citeshttps://doi.org/10.1016/j.engappai.2018.09.010openalex-snapshot
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder
inferred← citeshttps://doi.org/10.1016/j.engappai.2020.104048openalex-snapshot
Microblog sentiment analysis via embedding social contexts into an attentive LSTM
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.11.037openalex-snapshot
Incorporating knowledge into neural network for text representation
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.07.005openalex-snapshot
An unsupervised topic-sentiment joint probabilistic model for detecting deceptive reviews
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113465openalex-snapshot
A deceptive review detection framework: Combination of coarse and fine-grained features
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115470openalex-snapshot
Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122267openalex-snapshot
Improve label embedding quality through global sensitive GAT for hierarchical text classification
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.018openalex-snapshot
Sentiment analysis through recurrent variants latterly on convolutional neural network of Twitter
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.038openalex-snapshot
Code authorship identification using convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.future.2020.08.005openalex-snapshot
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.ins.2016.08.084openalex-snapshot
Attention pooling-based convolutional neural network for sentence modelling
inferred← citeshttps://doi.org/10.1016/j.ins.2017.01.015openalex-snapshot
Neural networks for deceptive opinion spam detection: An empirical study
inferred← citeshttps://doi.org/10.1016/j.ins.2018.09.001openalex-snapshot
An analysis of hierarchical text classification using word embeddings
inferred← citeshttps://doi.org/10.1016/j.ipm.2018.05.008openalex-snapshot
Tracking and recognizing emotions in short text messages from online chatting services
inferred← citeshttps://doi.org/10.1016/j.jbi.2019.103158openalex-snapshot
Chief complaint classification with recurrent neural networks
inferred← citeshttps://doi.org/10.1016/j.jbusres.2026.116538openalex-snapshot
Harvesting trade partners online with AI: A joint learning method for predicting the business role of massive web pages
inferred← citeshttps://doi.org/10.1016/j.jss.2021.110936openalex-snapshot
Code smell detection by deep direct-learning and transfer-learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.01.003openalex-snapshot
Dual-regularized matrix factorization with deep neural networks for recommender systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105750openalex-snapshot
Deep model with neighborhood-awareness for text tagging
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106091openalex-snapshot
Two-stage sentiment classification based on user-product interactive information
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110588openalex-snapshot
Multi-MCCR: Multiple models regularization for semi-supervised text classification with few labels
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116252openalex-snapshot
Hierarchy-aware prompt tuning with bidirectional information propagation for failure data mining
inferred← citeshttps://doi.org/10.1016/j.mlwa.2020.100015openalex-snapshot
Improving discourse representations with node hierarchy attention
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.11.005openalex-snapshot
Modelling context with neural networks for recommending idioms in essay writing
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.03.047openalex-snapshot
Context-augmented convolutional neural networks for twitter sarcasm detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.08.075openalex-snapshot
Balance gate controlled deep neural network
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.09.042openalex-snapshot
Task-generic semantic convolutional neural network for web text-aided image classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.06.084openalex-snapshot
Unsupervised pre-trained filter learning approach for efficient convolution neural network
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.130openalex-snapshot
Graph-based semi-supervised learning: A review
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.064openalex-snapshot
Siamese capsule networks with global and local features for text classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.07.072openalex-snapshot
Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129325openalex-snapshot
BERT-DXLMA: Enhanced representation learning and generalization model for english text classification
inferred← citeshttps://doi.org/10.1016/j.nlp.2023.100026openalex-snapshot
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100089openalex-snapshot
TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining
inferred← citeshttps://doi.org/10.1016/j.physa.2019.123288openalex-snapshot
Improving the accuracy using pre-trained word embeddings on deep neural networks for Turkish text classification
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.126openalex-snapshot
An Insight into NeuroEvolution and Genetic Algorithms for Text Classification
inferred← citeshttps://doi.org/10.1017/9781108639286openalex-snapshot
Sentiment Analysis
inferred← citeshttps://doi.org/10.1017/9781108639286.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/9781108639286.002openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1017/9781108639286.003openalex-snapshot
The Problem of Sentiment Analysis
inferred← citeshttps://doi.org/10.1017/9781108639286.004openalex-snapshot
Document Sentiment Classification
inferred← citeshttps://doi.org/10.1017/9781108639286.005openalex-snapshot
Sentence Subjectivity and Sentiment Classification
inferred← citeshttps://doi.org/10.1017/9781108639286.006openalex-snapshot
Aspect Sentiment Classification
inferred← citeshttps://doi.org/10.1017/9781108639286.007openalex-snapshot
Aspect and Entity Extraction
inferred← citeshttps://doi.org/10.1017/9781108639286.008openalex-snapshot
Sentiment Lexicon Generation
inferred← citeshttps://doi.org/10.1017/9781108639286.009openalex-snapshot
Analysis of Comparative Opinions
inferred← citeshttps://doi.org/10.1017/9781108639286.010openalex-snapshot
Opinion Summarization and Search
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