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Tb-CNN: Joint tree-bank information for sentiment analysis using CNN

https://doi.org/10.1109/chicc.2016.7554468
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-18032-8_2openalex-snapshot
Parallel Recursive Deep Model for Sentiment Analysis
inferredcites →https://doi.org/10.1007/978-3-319-19644-2_60openalex-snapshot
Twitter Sentiment Analysis Using Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1037/a0022571openalex-snapshot
Judging approachability on the face of it: The influence of face and body expressions on the perception of approachability.
inferredcites →https://doi.org/10.1109/t-affc.2012.16openalex-snapshot
Affective Body Expression Perception and Recognition: A Survey
inferredcites →https://doi.org/10.1184/r1/6473498openalex-snapshot
Learning Word Representations with Hierarchical Sparse Coding
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/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot
ADADELTA: An Adaptive Learning Rate Method
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.1509.01626openalex-snapshot
Character-level Convolutional Networks for Text Classification

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4065634openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-319-48472-3_57openalex-snapshot
A Context-Aware Analytics for Processing Tweets and Analysing Sentiment in Realtime (Short Paper)
inferred← citeshttps://doi.org/10.1007/978-981-13-7166-0_5openalex-snapshot
Aspect-Based Sentiment Analysis Using Deep Learning Convolutional Neural Network
inferred← citeshttps://doi.org/10.1007/s00521-019-04105-zopenalex-snapshot
Aspect-based sentiment analysis using deep networks and stochastic optimization
inferred← citeshttps://doi.org/10.1007/s10489-021-02936-9openalex-snapshot
Image-text interaction graph neural network for image-text sentiment analysis
inferred← citeshttps://doi.org/10.1007/s11042-023-17569-yopenalex-snapshot
A multimodal sentiment analysis approach for tweets by comprehending co-relations between information modalities
inferred← citeshttps://doi.org/10.1109/access.2020.3011802openalex-snapshot
Aspect-Based Sentiment Analysis Using a Hybridized Approach Based on CNN and GA
inferred← citeshttps://doi.org/10.23919/ccc50068.2020.9188861openalex-snapshot
Research on Real-time Detection of Fire Protection Facilities based on Improved YOLOv3 Algorithm
inferred← citeshttps://doi.org/10.3389/fenrg.2022.888554openalex-snapshot
Acoustic Prediction of a Multilateral-Well Unconventional Reservoir Based on a Hybrid Feature-Enhancement Long Short-Term Memory Neural Network
inferred← citeshttps://doi.org/10.5120/ijca2018916321openalex-snapshot
Twitter Sentiment Analysis using Machine Learning and Optimization Techniques
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