W hile woRd-of-mouth mARketing has always been available to marketers, it tends to be dismissed and undervalued as a legitimate strategy. check the index of any marketing or public relations textbook —a description of WOM is usually just a paragraph to a few pages long, if it’s included at all. More often than not, such a mention tends to focus squarely on the consequences of negative WOM witho...

OBJECTIVE To evaluate a media intervention designed to improve one newspaper's portrayal of mental illnesses, specifically, schizophrenia. The project was part of an international antistigma program, Open the Doors, organized by the World Psychiatric Association. METHODS The media intervention attempted to influence news content directly by providing reporters with more accurate background in...

This paper presents a machine learning study of affective words in Russian and Romanian languages. We tag the word affective meaning by one of the WordNet Affect six labels anger, disgust, fear, joy, sadness, surprise and group into “positive” (joy, surprise) and “negative” (anger, disgust, fear, sadness) classes. We use the word spelling, a word form, to represent words in machine learning exp...

The entropy-reduction hypothesis claims that the cognitive processing difficulty on a word in sentence context is determined by the word's effect on the uncertainty about the sentence. Here, this hypothesis is tested more thoroughly than has been done before, using a recurrent neural network for estimating entropy and self-paced reading for obtaining measures of cognitive processing load. Resul...

This study investigates on building a better Chinese word segmentation model for statistical machine translation. It aims at leveraging word boundary information, automatically learned by bilingual character-based alignments, to induce a preferable segmentation model. We propose dealing with the induced word boundaries as soft constraints to bias the continuous learning of a supervised CRFs mod...

This paper proposes an optical word indexing system based on fuzzy logic for 17th century printed documents. A pre-processing stage assures only interesting word candidates are considered. The main image-space indexing procedure builds fuzzy membership functions from oriented features extracted using Gabor filter banks. It proceeds by comparing this data with candidate word features and assigni...