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[PDF] Top 20 Visual-based event mining in social media

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Visual-based event mining in social media

Visual-based event mining in social media

... process. In [87], Savakis et ...user-preferences. In [93], Sinha et ...present in web archives or personal storages with high qua- lity, diversity and coverage ...framework, based on spatial ... Voir le document complet

131

Event-based social media data mining

Event-based social media data mining

... As of July 2009 LinkedCT Reactome Taxonomy KEGG PubMed GeneID Pfam UniProt OMIM PDB Symbol ChEBI Daily Med Disea- some CAS HGNC Inter Pro Drug Bank UniParc UniRef ProDom PROSITE Gene [r] ... Voir le document complet

151

Inspecting interactions: online news media synergies in social media

Inspecting interactions: online news media synergies in social media

... data mining, text mining and statistical methods to perform descriptive and predictive analyses on the dataset crawled from popular 48 news ...news media interactions and engagements in ... Voir le document complet

6

Linking and Mining Event-centric Data in the Semantic Web

Linking and Mining Event-centric Data in the Semantic Web

... a augmenté considérablement la performance du système. C.7 Détection de communautés sémantiques et recouvrantes Au lendemain d’une révolution technologique, les réseaux sociaux sont devenus un es- pace privilégié ... Voir le document complet

192

Mining social media to create personalized recommendations for tourist visits

Mining social media to create personalized recommendations for tourist visits

... personalization) in a simple (yet efficient) and scalable way; elicitation of tourist preferences in a non intrusive manner by exploiting a user’s public tagging record; evaluation methods of tourist ... Voir le document complet

7

QASM: a Q&A Social Media System Based on Social Semantics

QASM: a Q&A Social Media System Based on Social Semantics

... expertise in community question ...Detection in Question and Answer ...Sites. In Proc. of the Int. Conf. on Advances in Social Networks Analysis and Mining ... Voir le document complet

5

A BERT-based transfer learning approach for hate speech detection in online social media

A BERT-based transfer learning approach for hate speech detection in online social media

... (NLP) in combination with Machine Learning (ML) and Deep Learning (DL) methods [1, 8, 11, 13, 22, ...text mining-based features such as surface features, sentiment analysis, lexical re- sources, ... Voir le document complet

13

Graph Mining for Influence Maximization in Social Networks

Graph Mining for Influence Maximization in Social Networks

... decomposition in which the nodes are ranked taking into account their connections to the remaining nodes of the graph as well as to the removed nodes at previous steps of the ...fine-grained in the sense ... Voir le document complet

135

Event summarization on social media stream: retrospective and prospective tweet summarization

Event summarization on social media stream: retrospective and prospective tweet summarization

... metrics. In this context, a number of observations are worth ...approach based on the passive classification model (PBC) in terms of recall-oriented metrics (nCGp and nCG1) implies that our approach ... Voir le document complet

180

Uncovering flaming events on news media in social media

Uncovering flaming events on news media in social media

... news media are the major victims of the flaming behaviors and so detecting these types of events will be useful and ...Flaming event can be monitored and identified by analyzing negative comments received ... Voir le document complet

10

French Social Media Mining : Expertise and Sentiment

French Social Media Mining : Expertise and Sentiment

... (Wanas et al., 2008) proposed a method inspired from forums that use collab- orative intelligence to rate posts. This method automatically scores posts based on their textual content. The authors tried to model ... Voir le document complet

137

Bursty event detection on social media

Bursty event detection on social media

... Conclusion In this study, we address the problem of detecting unspecified events from social media using unsupervised ...methods. Based on EDCoW, we proposed several improvements in the ... Voir le document complet

8

Exploring carnivorous plant habitats based on images from social media

Exploring carnivorous plant habitats based on images from social media

... our visual exploration tool due to an interest in carnivorous plants, it can thus be used by enthusiasts to visit ...data. In addition, the previously mentioned data biases need to be ...considered. ... Voir le document complet

14

The “MuseumWeek” Event : Analyzing Social Network Interactions in Cultural Fields

The “MuseumWeek” Event : Analyzing Social Network Interactions in Cultural Fields

... USEUMS In order to apprehend the entanglement between communi- cation industries and museums on social networks, we set up a two-year interdisciplinary study[1] which combines fieldwork and interviews of ... Voir le document complet

7

Social Media and its Use in Health Promotion

Social Media and its Use in Health Promotion

... of social media is its ability to enable individuals and organizations to cooperate in all phases of emergency management: mitigation, prepared- ness, response and recovery (White et ...2009). ... Voir le document complet

7

Deep dive on politician impersonating accounts in social media

Deep dive on politician impersonating accounts in social media

... ORK In this paper, we did an analysis to discover impersonators based on the reactions on the published posts of top politician figures on ...considered. Based on user profiles and user activities, ... Voir le document complet

7

Automatic Detection of Depressive Users in Social Media

Automatic Detection of Depressive Users in Social Media

... In this paper, we propose a supervised model to automatically detect depressive users on social media. Our approach relies on groups of features going from stan- dard bag of words and surface ... Voir le document complet

17

A virtual reality-based approach for interactive and visual mining of association rules

A virtual reality-based approach for interactive and visual mining of association rules

... users in a Virtual Environment (VE). These techniques are based on hu- man natural expression, action and perception abilities (Burdea and Coiffet 1993 [54] Fuchs et ...human visual system easier ... Voir le document complet

229

Visual Spatial Data mining (VSDM) appliqué à l’épidémiologie

Visual Spatial Data mining (VSDM) appliqué à l’épidémiologie

... 6.Conclusion • SDM dérive du data mining classique et prend en compte les relation spatiales. • En intégrant la visualisation dans ce processus on as facilité le processus du SDM pour avoir une meilleure ... Voir le document complet

102

Event Correlation Analytics: Scaling Process Mining Using Mapreduce-Aware Event Correlation Discovery Techniques

Event Correlation Analytics: Scaling Process Mining Using Mapreduce-Aware Event Correlation Discovery Techniques

... sorting. In addition, the partitioning function is customized, to take into account only the origin key-part for hashing and partitioning of ...sorted in ascending order and grouped by value, tag and ... Voir le document complet

16

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