[PDF] Top 20 A un año del gobierno de Vicente Fox
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Analysing Event-Related Sentiments on Social Media with Neural Networks
... neutral sentiments than positive sentiments and showed a high degree of confusion between positive and negative ...to social media to assess sentiments as an addition to polling ... See full document
5
Aggression Detection in Social Media using Deep Neural Networks
... Arabic social media is proposed in (Mubarak et ...Convolutional Neural Networks are used to classify hate speech in (Gamb¨ack and Sikdar, ... See full document
49
Sentiment Analysis of Social Media Text Data using Back Propagation in Artificial Neural Networks
... Artificial Neural Networks have gained tremendous importance off late due to its large data handling and analyzing ...of social media and related ...from social media ... See full document
74
Aggression Detection on Social Media Text Using Deep Neural Networks
... classifying social media Hindi-English Code-Mixed sentences as aggressive or ...on neural networks to per- form better than simple machine learning algo- rithms ...of social ... See full document
119
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
... Deep neural networks have proven to be effec- tive for ...recurrent neural networks (Chiu and Nichols, 2016) combined with CRF (Lample et ...on social media data and explores ... See full document
46
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling
... in social media ...deep neural network (DNN) models of varying complexity ranging from CNN, LSTM, BiLSTM, CNN-LSTM, LSTM-CNN, CNN-BiLSTM to ...deep neural networks, we experimented with ... See full document
83
Character Aware Neural Networks for Arabic Named Entity Recognition for Social Media
... We compare our system with two other models. The best score reported on this task was obtained by (Darwish and Gao, 2014). Their system uses large gazetteers, and a semi-supervised method. They got 65.2 points in F1 ... See full document
98
Normalization of Social Media Text using Deep Neural Networks
... by social media, creativ- ity and individuality, which has created problems at two ...Firstly, social media text is often un- suitable for various Natural Language Processing (NLP) tasks, such ... See full document
75
Web Forum And Social Media: A Model For Automatic Removal Of Fake Media Using Multilayered Neural Networks
... broadcast media has been severely influenced by the growing sophistication in information communication technologies ...same. Social media has stolen the game and is quickly leading to another age, ... See full document
5
JTML at SemEval 2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks
... Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017. Ex machina: Personal attacks seen at scale. In Proceedings of the 26th International Conference on World Wide Web, pages 1391–1399. International World Wide Web ... See full document
59
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health
... classifying social media posts related to mental health derived from ...tional neural networks (CNNs) applied to this task have shown good performance in previous stud- ies (Gkotsis et ... See full document
137
1551.pdf
... While available research primarily focuses on the adoption of basic websites and other Internet technologies, research on social media and SMEs is in its infancy not surprisingly. Chua, Deans and Parker ... See full document
20
Joint Event Extraction via Recurrent Neural Networks
... convolutional neural networks in a pipelined framework (Chen et ...between event triggers and argument roles via discrete ...do event extraction in a joint framework with bidirectional ... See full document
60
Time-to-Event Prediction with Neural Networks and Cox Regression
... future event will occur. Applications of time-to-event predictions can be found in a variety of settings such as survival prediction of cancer patients ...the event probabilities as a function of ... See full document
9
Events based Multimedia Indexing and Retrieval
... For the detailed experimental evaluation of our algorithm of flood detec- tion in satellite images, we used the publicly available dataset [17] of the Multimedia Satellite Task, which was a part of the 2017 MediaEval ... See full document
22
Social Media Analytics and New Product Development
... that social media analytics examines the social media data to understand the usage experiences, expected behaviors, sentiments, referral possibilities, innovation insights while ... See full document
10
Sentimental Analysis for Political Activities from Social Media Data Analytics
... change point we have various methods. We apply cumulative summary based on algorithm 4.2 which shows that firstly mean of polarity scores is computed for all data points in the time series for each entity. Rest of the ... See full document
36
"The IMPACT of New Media on Child Socialization" Appliedre Search on Basic Education Schools in Muscat Governorate –Sultanate of Oman
... of social media on users, a comparative study was presented to compare the social and electronic websites (Arabic ...effective social media are in users; the users of websites pages are ... See full document
34
Identifying Event related Bursts via Social Media Activities
... of social media activities for burst ...Online social activities are dynamic, with a large number of new items generated ...as social media activities ... See full document
85
Event Detection and Domain Adaptation with Convolutional Neural Networks
... This paper presents a convolutional neural net- work (LeCun et al., 1988; Kalchbrenner et al., 2014) for the ED task that automatically learns features from sentences, and minimizes the depen- dence on supervised ... See full document
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