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Word2Sent : A new learning sentiment‐embedding model with low dimension for sentence level sentiment classification
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.4783openalex-snapshot
Evaluating deep learning models for sentiment classification
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Deep learning for sentiment analysis: A survey
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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
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An Empirical Study for Determining Relevant Features for Sentiment Summarization of Online Conversational Documents
inferredcites →https://doi.org/10.1016/j.datak.2018.04.001openalex-snapshot
Sentiment analysis: An automatic contextual analysis and ensemble clustering approach and comparison
inferredcites →https://doi.org/10.1016/j.eswa.2016.10.065openalex-snapshot
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
inferredcites →https://doi.org/10.1016/j.eswa.2018.03.055openalex-snapshot
Social media contents based sentiment analysis and prediction system
inferredcites →https://doi.org/10.1016/j.eswa.2018.08.044openalex-snapshot
Sentiment analysis based on improved pre-trained word embeddings
inferredcites →https://doi.org/10.1016/j.ijar.2018.08.003openalex-snapshot
Exploiting multiple word embeddings and one-hot character vectors for aspect-based sentiment analysis
inferredcites →https://doi.org/10.1016/j.procs.2016.05.124openalex-snapshot
Sentiment Analysis: A Comparative Study on Different Approaches
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Machine Learning and Semantic Sentiment Analysis based Algorithms for Suicide Sentiment Prediction in Social Networks
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Analyzing Social Media through Big Data using InfoSphere BigInsights and Apache Flume
inferredcites →https://doi.org/10.1037//0033-295x.104.2.211openalex-snapshot
A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.
inferredcites →https://doi.org/10.1109/dsc.2017.82openalex-snapshot
Sentiment Lexical-Augmented Convolutional Neural Networks for Sentiment Analysis
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
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A unified architecture for natural language processing
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A comparison of features extraction methods for Arabic sentiment analysis
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.1186/s13638-017-0993-1openalex-snapshot
Text feature extraction based on deep learning: a review
inferredcites →https://doi.org/10.1609/aaai.v29i1.9513openalex-snapshot
Recurrent Convolutional Neural Networks for Text Classification
inferredcites →https://doi.org/10.1609/aaai.v32i1.11916openalex-snapshot
Learning Sentiment-Specific Word Embedding via Global Sentiment Representation
inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
inferredcites →https://doi.org/10.3115/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/10.3115/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.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Pattern2Vec: Representation of clickstream data sequences for learning user navigational behavior
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Enhanced Word Embeddings with Sentiment Contextualized Vectors for Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/s11042-024-19349-8openalex-snapshot
ASIF: attention-based sentiment inquiry framework for profound product recommendations
inferred← citeshttps://doi.org/10.1007/s41870-024-01882-2openalex-snapshot
FANCFIS: ensemble deep learning based features learning with a novel fuzzy approach for sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.array.2022.100157openalex-snapshot
Transformer-based deep learning models for the sentiment analysis of social media data
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Improving Sentiment Analysis in Social Media by Handling Lengthened Words
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An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task
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A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/ibssc56953.2022.10037443openalex-snapshot
Gradient Boosting Approach for Sentiment Analysis for Job Recommendation and Candidate Profiling
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A novel meta-embedding technique for drug reviews sentiment analysis
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GenSent: Improving Sentiment Analysis Using Genetic Algorithm-Based Ensemble Optimization
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