The availability of new data sources on human mobility is opening new avenues for
investigating the interplay of social networks, human mobility and dynamical processes such …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

The usual approach for automatic summarization is sentence extraction, where key
sentences from the input documents are selected based on a suite of features. While word …

In this paper we present our generic extractive Arabic and English multi-document
summarisers. We also describe the use of machine translation for evaluating the generated …

One of the main challenges to be addressed in text summarization concerns the detection of
redundant information. This paper presents a detailed analysis of three methods for …

Information systems that utilise contextual information have the potential of helping a user
identify relevant information more quickly and more accurately than systems that work the …

We present a methodology combining surface NLP and Machine Learning techniques for
ranking asbtracts and generating summaries based on annotated corpora. The corpora …

Sentiment Analysis is a novel and broad area of Natural Language Processing (NLP) aiming
to understand people's sentiments and opinions about a given topic. In particular, this …

• Processamento de Língua Natural (PLN) o Sumarização Automática Multidocumento
(SAM)• Produzir sumários a partir de uma coleção de textos-fonte que abordam um mesmo …

RESUMO A complementaridade é um fenômeno multidocumento comumente observado
entre notícias que versam sobre um mesmo evento. A partir de um corpus em português …