Ion Androutsopoulos

Publications
Influence

SemEval-2014 Task 4: Aspect Based Sentiment Analysis

Maria Pontiki, D. Galanis, John Pavlopoulos, Haris Papageorgiou, Ion Androutsopoulos, S. Manandhar
Computer Science
COLING
1 August 2014

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. Expand

An evaluation of Naive Bayesian anti-spam filtering

Ion Androutsopoulos, J. Koutsias, K. Chandrinos, G. Paliouras, C. Spyropoulos
Computer Science
ArXiv
7 June 2000

It has recently been argued that a Naive Bayesian classifier can be used to filter unsolicited bulk e-mail (“spam”). Expand

Natural language interfaces to databases - an introduction

Ion Androutsopoulos, G. Ritchie, P. Thanisch
Computer Science
Nat. Lang. Eng.
1 March 1995

This paper is an introduction to natural language interfaces to databases (NLIDBS) and reflections on the current state of the art. Expand

Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach

Ion Androutsopoulos, G. Paliouras, V. Karkaletsis, Georgios Sakkis, C. Spyropoulos, P. Stamatopoulos
Computer Science
ArXiv
1 September 2000

We investigate the performance of two machine learning algorithms in the context of antispam filtering. Expand

An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages

Ion Androutsopoulos, J. Koutsias, K. Chandrinos, C. Spyropoulos
Computer Science
SIGIR '00
1 July 2000

The growing problem of unsolicited bulk e-mails, also known as “spam”, has generated a need for reliable anti-spam e-mail filters. Expand

Spam Filtering with Naive Bayes - Which Naive Bayes?

V. Metsis, Ion Androutsopoulos, G. Paliouras
Computer Science
CEAS
2006

We discuss five dierent versions of Naive Bayes, and compare them on six new, non-encoded datasets, that contain ham messages of particular Enron users and fresh spam messages and emulate the varying proportion of spam and ham messages that users receive over time. Expand

SemEval-2015 Task 12: Aspect Based Sentiment Analysis

Maria Pontiki, D. Galanis, Haris Papageorgiou, S. Manandhar, Ion Androutsopoulos
Computer Science
SemEval@NAACL-HLT
1 June 2016

This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. Expand

Learning to Filter Unsolicited Commercial E-Mail

Ion Androutsopoulos, G. Paliouras, E. Michelakis, E. Michelakis
Computer Science
2006

We present a thorough investigation on using machine learning to construct effective personalized anti-spam filters, and present an analysis of its behavior in real use. Expand

A Survey of Paraphrasing and Textual Entailment Methods

Ion Androutsopoulos, Prodromos Malakasiotis
Computer Science
J. Artif. Intell. Res.
18 December 2009

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Expand

SemEval-2015 Task 12: Aspect Based Sentiment Analysis

Maria Pontiki, D. Galanis, Haris Papageorgiou, S. Manandhar, Ion Androutsopoulos
Computer Science
NAACL
1 June 2015

SemEval-2015 Task 12, a continuation of Sem Eval-2014 Task 4, aimed to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis. Expand

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