Social Web Observatory: A Platform and Method for Gathering Knowledge on Entities from Different Textual Sources

no code implementations • LREC 2020 • Leonidas Tsekouras, Georgios Petasis, George Giannakopoulos, Aris Kosmopoulos

Within this work we describe a framework for the collection and summarization of information from the Web in an entity-driven manner.

Clustering Sentiment Analysis

Social Web Observatory: An entity-driven, holistic information summarization platform across sources

no code implementations • RANLP 2019 • Leonidas Tsekouras, Georgios Petasis, Aris Kosmopoulos

In this paper, we overview the platform, outline the analysis pipeline and describe a user study aimed to quantify the usefulness of the system and especially the meaningfulness and coherence of discovered events.

Probabilistic Cascading for Large Scale Hierarchical Classification

no code implementations • 9 May 2015 • Aris Kosmopoulos, Georgios Paliouras, Ion Androutsopoulos

Hierarchies are frequently used for the organization of objects.

Classification General Classification

LSHTC: A Benchmark for Large-Scale Text Classification

no code implementations • 30 Mar 2015 • Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artieres, George Paliouras, Eric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Galinari

LSHTC is a series of challenges which aims to assess the performance of classification systems in large-scale classification in a a large number of classes (up to hundreds of thousands).

General Classification text-classification +1

Evaluation Measures for Hierarchical Classification: a unified view and novel approaches

2 code implementations • 28 Jun 2013 • Aris Kosmopoulos, Ioannis Partalas, Eric Gaussier, Georgios Paliouras, Ion Androutsopoulos

Hierarchical classification addresses the problem of classifying items into a hierarchy of classes.

General Classification text-classification +1