Feature selection of text is one of the basic matters for intelligent classification of text. Textual feature generating algorithm adopts weighted textual vector space model generally at present. This model uses BP network evaluation function to calculate weight value of single feature and textual feature redundancy generated in this algorithm is high generally. For this problem, a textual feat...

Anomaly detection has extensive use in a wide variety of applications, such techniques aim to and patterns in data that do not conform to expected behavior. In this work we apply anomaly detection to the task of discovering anomalies from user-generated content of commercial product descriptions. While most of the other works in literature rely exclusively on textual features, we combine those ...

In this work we describe the URJC&UNED participation in the ImageCLEF 2013 Photo Annotation Task. We use visual information to find similar images and textual information extracted from the training set to label the test images. We propose two additional visual features apart from the provided by the organization and a method to expand the textual information available. The new visual features ...

This paper reports our multimedia information retrieval experiments carried out for the ImageCLEF track (ImageCLEFwiki[10]). We propose a new multimedia model combining textual and/or visual information which enables to perform textual, visual, or multimedia queries. We experiment the model on ImageCLEF data and we compare the results obtained using the different modalities. Our multimedia docu...

From 1984, the US has annually conducted the Behavioral Risk Factor Surveillance System (BRFSS) surveys to capture either health behaviors, such as drinking or smoking, or health outcomes, including mental, physical, and generic health, of the population. Although this kind of information at a population level, such as US counties, is important for local governments to identify local needs, tra...

In this paper, the possibilities of using visual and textual information are investigated to improve the ranking of photos from Flickr about famous places. We have elaborated improved textual features based on standard ones and visual features e.g. face feature for measure the relative face area on the images. These heuristic features have been used for the solution in the MediaEval 2013 Retrie...

Abstract: By presenting textual information within the space of corresponding images, the concept of DUAL-USE OF IMAGE SPACE (DUIS) eases the mental integration of textual and pictorial information. This paper applies the DUIS approach which was initially developed for area features to linear features. Moreover, we enhance the DUIS approach with new tools to navigate within embedded texts: The ...

This paper presents a commercial shot classification scheme combining well-designed visual and textual features to automatically detect TV commercials. To identify the inherent difference between commercials and general programs, a special mid-level textual descriptor is proposed, aiming to capture the spatio-temporal properties of the video texts typical of commercials. In addition, we introdu...

In this paper we study how to identify persuasive posts in the online forum discussions, using data from Change My View sub-Reddit. Our analysis confirms that the users’ voting score for a comment is highly correlated with its metadata information such as published time and author reputation. In this work, we propose and evaluate other features to rank comments for their persuasive scores, incl...