2022
Δ. Μιχαήλ, N. Καναράκης, Η. Βαρλάμης
Detection of fake news campaigns using graph convolutional networks
. International Journal of Information Management Data Insights Volume 2, Issue 2, 100104, November 2022Ι. Η. Βαρλάμης, Δ. Μιχαήλ, Φ. Γλυκού και Π. Τσαντίλας
A Survey on the Use of Graph Convolutional Networks for Combating Fake News
. Future Internet, vol. 14, issue 3, 1-19. MDPI2021
Η. Βαρλάμης, N. Καναράκης, Δ. Μιχαήλ
A comparative survey of graph databases and software for social network analytics: The link prediction perspective
. “Social Media Analytics using Graph Databases” book by Christos Tjortjis (editor). Springer. To appearΗ. Βαρλάμης, J. A. Nasir, S. Khan,
Fake news detection: A hybrid CNN-RNN based deep learning approach
. International Journal of Information Management Data Insights. Volume 1, Issue 1, 100007, April 20212020
Αλεξανδρίδης Γ., Μιχαλάκης Κ., Αλιπράντης Ι., Πολύδορας Π., Τσαντίλας Π., Καρυδάκης Γ.
A Deep Learning Approach to Aspect-Based Sentiment Prediction
. Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 583)2019
Πουλόπουλος Β., Wallace M. , Βασιλάκης Κ. & Λέπουρας Γ.
PaloAnalytics Project Concept, Scope, and Outcomes: An Opportunity for Culture, Workshop on Cultural Informatics 2019
. Larnaca, Cyprus, June 9, 2019Γουρζής Κ., Αλεξανδρίδης Γ., Γιαλής Σ. & Καρυδάκης Γ.
Studying the Spatialities of Short-Term Rentals’ Sprawl in the Urban Fabric: The Case of Airbnb in Athens, Greece
. In IFIP International Conference on Artificial Intelligence Applications and Innovations Pages 196-207 Springer, Cham, May 2019Γουρζής Κ., Αλεξανδρίδης Γ., Γιαλής Σ. & Καρυδάκης Γ.
Studying the Spatialities of Short-Term Rentals’ Sprawl in the Urban Fabric: The Case of Airbnb in Athens, Greece
. In IFIP International Conference on Artificial Intelligence Applications and Innovations Pages 196-207 Springer, Cham, May 20192017
Μακρυνιώτη Ν. , Γρίβας Α. , Σαρδιανός Κ., Τσιράκης Ν. , Βαρλάμης Ι., Βασάλος Β., Πουλόπουλος Β., Τσαντίλας Π.
PaloPro: a platform for knowledge, extraction from big social data and the news
. International Journal of Big Data Intelligence 2017 – Vol. 4, No.1 pp. 3 – 222015
Τσιράκης Ν., Πουλόπουλος Β., Τσαντίλας Π., Βαρλάμης Ι.
A platform for real-time opinion mining from social media and news streams
. In proceedings of the 1st IEEE International Workshop on Real Time Data Stream Analytics (RTStreams@BigDataSE 2015), held in conjunction with IEEE BigDataSE-15, 20-22 Aug, 2015, Helsinki, Finland2014
Βαρλάμης Ι., Τσιράκης Ν., Πουλόπουλος Β., Τσαντίλας Π.
An automatic wrapper generation process for large scale crawling of news websites
. In 18th Panhellenic Conference on Informatics, PCI 2014, 2-4 Oct, 2014, Athens, GreeceΠετάτσης Γ., Σπηλιωτόπουλος Δ., Τσιράκης Ν., Τσαντίλας Π.
Sentiment Analysis for Reputation Management: Mining the Greek Web
. In 8th Hellenic Conference on Artificial Intelligence pp. 27-340, SETN 2014, 15-17 May, 2014, Ioannina, Greece2013
Πετάτσης Γ., Σπηλιωτόπουλος Δ., Τσιράκης Ν., Τσαντίλας Π.
Large-scale Sentiment Analysis for Reputation Management
. In PATHOS 2013 Workshop, GSCL 2013, 25-27 September, 2013, Darmstadt, Germany.Why Palowise?
- #1:Use the industry's top artificial intelligence to handle the heavy work for you and gain insights in minutes.
- #2:Receive an alert if something major occurs near your customer.
- #3:Identify the influencers, material, and messaging required to generate success in real-time.
- #4:Manage cross-channel campaigns with multidisciplinary groups and infinite channels.
- #5:Monitor engagement and sentiment to get valuable insights.
- #6:Monitor trending topics of discussion among users.
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