[PDF] Top 20 UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
Has 10000 "UTCNN: a Deep Learning Model of Stance Classification on Social Media Text" found on our website. Below are the top 20 most common "UTCNN: a Deep Learning Model of Stance Classification on Social Media Text".
UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
... the UTCNN user embeddings encode author and user-interaction constraints, where the ideology constraint is mod- eled by the topic embeddings and text features are modeled by the ...by UTCNN suggests ... See full document
11
Optimization of sentiment analysis using machine learning classifiers
... online social networks and electronic media based societies has influenced the young researchers to pursue their work on sentiment analy- ...from social media text ...assessing ... See full document
12
A Pragmatic Supervised Learning Methodology of Hate Speech Detection in Social Media
... for classification. Choosing to adopt deep learning needs commitment in both of preparing and training the model with large amount of data and apparently it has a promising future in the field ... See full document
8
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning
... unsupervised classification for developing a real-time suicidal ideation detection system deployed over Weibo 1 , a microblogging ...machine learning and psychological knowledge, they reported an SVM ... See full document
9
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health
... of text related to mental health is aimed to help medical decision-making, public health poli- cies and to improve health ...involve text classification. Tradi- tionally, automated ... See full document
9
Aggression Detection on Social Media Text Using Deep Neural Networks
... machine learning as well as deep learning classification models for classifying social media Hindi-English Code-Mixed sentences as aggressive or ...machine learning algo- ... See full document
8
Deep Attention Learning Mechanisms for Social Media Sentiment Image Revelation
... analyze social media human images and visualize the implied emotions for each image, the presented system model inevitably needs to resort to some adequate techniques for features extraction and ... See full document
17
Unified Framework For Deep Learning Based Text Classification
... Abstract: Deep learning has emerged as a very popular approach for solving large scale pattern recognition ...various text mining problems with improved accuracy as compared to pre-existing ...are ... See full document
5
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
... a deep neural model, proved to be successful in large-scale document classification, for user clas- sification on social media, outperforming previ- ously set benchmarks for four out of ... See full document
6
Convolutions Are All You Need (For Classifying Character Sequences)
... for text classification, they demonstrate poor performance and slow convergence when trained on long ...When text is modeled as characters instead of words, the longer sequences make RNNs a poor ... See full document
6
Domestic violence crisis identification from Facebook posts based on deep learning
... from social media or evaluated Deep Learning and machine learning techniques against different feature extraction methods for DV ...on social media ...cessing. Deep ... See full document
11
Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations
... for stance classification, and hence its utility remains ...improved classification of each individual post after learning the structure and dynamics of the conversation as a ... See full document
12
Discourse aware rumour stance classification in social media using sequential classifiers
... rumour stance classification ...of social media [6], learning from how ‘conversational threads’ evolve for a more accurate classification of the stance of each ...to ... See full document
41
Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
... machine learning-based technique is proposed by [7] for classifying of extremist ...the classification of user reviews into positive and negative classes with less focus on identifying, which sentiment ... See full document
23
Text Classification Using Ensemble Of Non Linear Support Vector Machines
... There exist various variants of SVMs[14]-[19]. These are the state-of-the-art SVM models that have been used for text classification. Wang et al[15] propose a fuzzy SVM based approach for text ... See full document
6
An Arguing Lexicon for Stance Classification on Short Text Comments in Chinese
... Since comments on these forums are used as a way for users to express their opinion, to oppose to others’ ideas, and to justify their reasons for believing in or not believing in something (Wilson and Wiebe, 2005; ... See full document
10
A Classification Model for Severity of Neonatal Jaundice Using Deep Learning
... machine learning will decrease neonates’ likelihood of developing ...predictive model for the severity of neonatal jaundice based on the variables identified using deep learning with ... See full document
11
Learning a Deep Hybrid Model for Semi Supervised Text Classification
... our model against the HRBM (Larochelle and Bengio, 2008) (effectively a sin- gle layer SBEN), which serves as a powerful, non- linear shallow classifier in of itself, as well as a 3-layer sparse deep ... See full document
11
DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments
... a deep learning extension for the multi-purpose text classification framework DKPro Text Classification (DKPro ...of deep learning, and discuss the necessary ... See full document
7
Social Media Text Classification under Negative Covariate Shift
... As stated at the beginning of the paper, this work was motivated by the real-life problem of identi- fying the right social media posts or documents for specific applications. For an effective evalua- tion, ... See full document
10
Related subjects