[PDF] Top 20 A deep learning framework to detect sarcasm targets
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A deep learning framework to detect sarcasm targets
... Computational sarcasm is a very well studied re- search area in computational linguistics (Joshi et ...the sarcasm targets and sentiments toward them in the ...“battery”. Sarcasm tar- get ... See full document
7
Object Detection using Deep Learning
... resume learning from the saved ...to detect new ...machine learning practitioners to design their ...detection framework using Transfer Learning Technique. Transfer Learning [11] ... See full document
5
Ship Detection Framework Based on Deep Learning Network
... For humans to observe a picture, detecting and identifying the object in the image is very fast and accurate. Therefore, Joseph Redmon et al. proposed the YOLO [7] (You Only Look Once) algorithm. The machine only needs ... See full document
7
A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos
... revealing framework by extracts features from multiple modalities to represent each shot in the given video ...new framework for Co-saliency Detection and achieve satisfy ... See full document
20
A deep learning framework for joint image restoration and recognition
... With respect to image restoration, Joint-CNN-Net and Joint-RED-Net have certain recovery abilities, at least the white boxes become slightly transparent. Joint-RED-Net recovers the noise, and the recovered images have ... See full document
21
“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
... in sarcasm detection spans almost a ...unexplored: sarcasm expressed through numbers, which we estimate, forms about 11% of the sarcastic tweets in our ...detecting sarcasm in tweets arising out of ... See full document
9
Tweet Sarcasm Detection Using Deep Neural Network
... Recently, contextual information has been exploited for sarcasm detection (Wallace et al., 2015; Karoui et al., 2015). In particular, contextual features extracted from history tweets by the same au- thor has ... See full document
12
A deep learning framework for predicting cyber attacks rates
... machine learning methods inlcuding logistic regression, neural network, and random forest, have been proposed for this purpose [26, ...unlike deep learn- ing models that can directly work on raw data, those ... See full document
11
Deep contextualized word representations for detecting sarcasm and irony
... analysis, sarcasm and irony detection has received great traction within the NLP research community, resulting in a variety of methods, shared tasks and benchmark ...machine learning algorithms such as ... See full document
6
A general deep learning framework for network reconstruction and dynamics learning
... Many complex processes can be viewed as dynamical systems on an underlying network structure. Network with the dynamics on it is a powerful approach for modeling a wide range of phenomena in real-world systems, where the ... See full document
17
Deep Learning Based Crime Investigation Framework
... Another framework that was developed using data mining techniques was ...COPLINK DETECT which was used to detect the false identities and addresses supplied by the ...Another framework was ... See full document
5
A Proposed Framework: Face Recognition With Deep Learning
... via deep embedding used a two-stage approach combining deep metric learning and a multi-patch deep CNN to achieves a high discriminative feature for face verification and recognition ...DL ... See full document
6
Detection of Sarcasm in Text Data using Deep Convolutional Neural Networks
... and sarcasm in textual data poses threat to the accuracy of the techniques evolved till ...a deep learning based convolutional neural network method that focuses on the skip gram technique to convert ... See full document
10
Temporal causal discovery and structure learning with attention based convolutional neural networks
... Discovery Framework (TCDF), a deep learning framework that learns a causal graph structure by discovering causal relationships in observational time series ...to detect correlations ... See full document
72
Sarcasm and Irony Word Analysis in Social Network Using Deep Learning Algorithm
... tweets. Sarcasm is one of the major challenges faced in Sentiment ...of sarcasm on Twitter is the exciting challenge in opinion mining ...field. Sarcasm means the person speaks the contradictory of ... See full document
6
An Integrated Deep Learning Framework of Tomato Leaf Disease Detection
... to detect plant diseases in the recent technological ...integrated deep learning framework where a pre-trained VGG-19 model is used for feature extraction and stacking ensemble model is used ... See full document
5
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data
... Recently, deep learning neural network such as convolutional neural network (CNN), recurrent neural network (RNN) and ...using deep learning architecture to classify EEG ...that deep ... See full document
6
AN AUTOMATIC HYBRID APPROACH TO DETECT CONCEALED WEAPONS USING DEEP LEARNING
... effectively detect concealed objects,; however, these devices raise embarrassment and privacy concerns (16) during projection of 2D magnitude images, such as scanners that use microwave frequencies, to reveal body ... See full document
6
Pervasive Lying Posture Tracking
... Deep Learning Architecture: To solve this problem, We design an Adaptive LSTM (AdaLSTM), an LSTM Network with an adaptive learning rate method with a decaying learning rate ...initial ... See full document
19
A REVIEW TO DETECT DIABETIC RETINOPATHY THROUGH ENHANCE CLASSIFICATION ACCURACY OF DEEP LEARNING
... a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus ...applied deep learning to construct an algorithm for automated detection of diabetic retinopathy along with ... See full document
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