This study presents an overview of IS&LS thematic trends in Portugal between 2001 and 2012. The results were obtained by means of an analysis, using expeditious qualitative and quantitative techniques, of the bibliographic records of proceedings papers identified during this period. These records were processed using two techniques: a manual subject classification and an automated co-word analy...

Features of tonal co-articulation in Mandarin speech are studied with a focus on how the word boundary location affects the results. Although there are several previous works investigating how the prosodic features of syllables are affected by the surrounding syllables, most of them selected nonsense syllable sequences as speech material without specific consideration on the word boundary. In t...

This article presents a new semi-supervised method for documentlevel sentiment analysis. We employ a supervised state-of-the-art classification approach and enrich the feature set by adding word cluster features. These features exploit clusters of words represented in semantic spaces computed on unlabeled data. We test our method on three large sentiment datasets (Czech movie and product review...

In this paper, we assume that word co-occurrence statistics can be used to extract meaningful features, exhibiting syntactic and semantic behavior, from text data. Independent component analysis (ICA), an unsupervised statistical method, is applied to word usage statistics, calculated from a natural language corpora, to extract a number of features. With a self-organizing map (SOM), we will dem...

This study examines the relationship between two kinds of semantic spaces — i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) — and four semantic relations — i.e., synonymy, coordination, superordination, and collocation — by comparing, for each semantic relation, the performance of two semantic spaces in predicting word association. The simulation experiment demons...

the instrumental use of social networks has become a central tenet of international health policy and advocacy since the millennium project. in asking, ‘how to facilitate social contagion?’, karl blanchet of the london school of hygiene and tropical medicine therefore reflects not only on the recent success, but also hints to growing challenges; the tactics of partnerships, alliances and platfo...

Inferring topics from the overwhelming amount of short texts becomes a critical but challenging task for many content analysis tasks, such as content charactering, user interest profiling, and emerging topic detecting. Existing methods such as probabilistic latent semantic analysis (PLSA) and latent Dirichlet allocation (LDA) cannot solve this problem very well since only very limited word co-o...

This paper aims to assess the diffusion of nanotechnology knowledge within the Turkish scientific community using co-citation and co-word analysis techniques. We retrieved a total of 10,062 records of nanotechnology papers authored by Turkish researchers between 2000 and 2011 from Web of Science (WoS) and divided the data set into two 6-year periods. We identified the most prolific and collabor...

Co-occurrences between two words provide useful insights into the semantics of those words. Consequently, numerous prior work on word embedding learning have used co-occurrences between two words as the training signal for learning word embeddings. However, in natural language texts it is common for multiple words to be related and co-occurring in the same context. We extend the notion of co-oc...