Sentiment Analysis (SA) and Opinion Mining (OM) have become a popular task in recent years in NLP with the development of language resources, corpora and annotation schemes. The possibility to discriminate between objective and subjective expressions contributes to the identification of a document’s semantic orientation and to the detection of the opinions and sentiments expressed by the author...

In computation linguistics a combination of syntagmatic and paradigmatic features is often exploited. While the first aspects are typically managed by information present in large n-gram databases, domain and ontological aspects are more properly modeled by lexical ontologies such as WordNet and semantic similarity spaces. This interconnection is even stricter when we are dealing with creative ...

AbstractThis paper examines the wealth collector in Surah al-Humazah, where they frequently disregard their obligation to worship God and are continually focused on multiplying riches until believe all acquire could make them eternal. They have abundant wealth, so easily belittle others. This study employed a literature review method based Ferdinand de Saussure's semiotic theory approach. The s...

The word-space model is a computational model of word meaning that utilizes the distributional patterns of words collected over large text data to represent semantic similarity between words in terms of spatial proximity. The model has been used for over a decade, and has demonstrated its mettle in numerous experiments and applications. It is now on the verge of moving from research environment...

Evaluation of word space models is usually local in the sense that it only considers words that are deemed very similar by the model. We propose a global evaluation scheme based on clustering of the words. A clustering of high quality in an external evaluation against a semantic resource, such as a dictionary of synonyms, indicates a word space model of high quality. We use Random Indexing to c...

The article describes characteristics of semantic and syntagmatic features separable words liheci in modern Chinese, which, the framework our classification, constitute a group with high idiomatic meaning. idiomaticity unit implies impossibility deriving its semantics from sum values components. consistently examines examples functioning inserted elements between components verb-nominal constru...

Recently, the inference of biological networks has been studied whose vertices represent proteins and recurrent sequential patterns – called domain types – thereof; cf., for example, [1]. What makes this an outstanding research object from the point of view of data mining is the explorative analysis of large networks whose emergence is simulated in order to get insights into the dynamics of the...