Search results for "computer.software_genre"
showing 10 items of 3858 documents
A Study on Classification Methods Applied to Sentiment Analysis
2013
Sentiment analysis is a new area of research in data mining that concerns the detection of opinions and/or sentiments in texts. This work focuses on the application and the comparison of three classification techniques over a text corpus composed of reviews of commercial products in order to detect opinions about them. The chosen domain is about "perfumes", and user opinions composing the corpus are written in Italian language. The proposed approach is completely data-driven: a Term Frequency / Inverse Document Frequency (TFIDF) terms selection procedure has been applied in order to make computation more efficient, to improve the classification results and to manage some issues related to t…
A Multimodal Interaction Guide for Pervasive Services Access
2007
A pervasive, multimodal virtual guide for a cultural heritage site tour is illustrated. The guide is based on the integration of different technologies such as conversational agents, commonsense reasoning knowledge bases, multimodal interfaces and self-location detection systems. The aim of the work is to offer a more natural, context sensitive access to information with respect to traditional audio/visual pre-recorded guides. A prototype has been developed and implemented on a Qtek 9090 with Windows Mobile 2003 in order to deal with the "Museo Archeologico Regionale di Agrigento" domain.
Designing Touchless Gestural Interactions for Public Displays In-the-Wild
2015
Public displays, typically equipped with touchscreens, are used for interactions in public spaces, such as streets or fairs. Currently low-cost visual sensing technologies, such as Kinect-like devices and high quality cameras, allow to easily implement touchless interfaces. Nevertheless, the arising interactions have not yet been fully investigated for public displays in-the-wild (i.e. in appropriate social contexts where public displays are typically deployed). Different audiences, cultures and social settings strongly affect users and their interactions. Besides gestures for public displays must be guessable to be easy to use for a wide audience. Issues like these could be solved with use…
A User-Friendly Interface for Fingerprint Recognition Systems Based on Natural Language Processing
2009
Biometric recognition systems represent a valid solution to the safety problem of internet accessibility, even if they do not always provide an environment easily comprehensible by users and operators with a mid-level of competence. This gap can be partially filled if, instead of using the conventional access routines to the authentication system, the user could simply write to the system through the interface and using high level sentences and requests be able to use its own natural language to reach the intended goal. On the other hand, biometrics features are widely used for recognition and identification all over the world, generating large databases. In this paper a user-friendly inter…
Embedded Knowledge-based Speech Detectors for Real-Time Recognition Tasks
2006
Speech recognition has become common in many application domains, from dictation systems for professional practices to vocal user interfaces for people with disabilities or hands-free system control. However, so far the performance of automatic speech recognition (ASR) systems are comparable to human speech recognition (HSR) only under very strict working conditions, and in general much lower. Incorporating acoustic-phonetic knowledge into ASR design has been proven a viable approach to raise ASR accuracy. Manner of articulation attributes such as vowel, stop, fricative, approximant, nasal, and silence are examples of such knowledge. Neural networks have already been used successfully as de…
Automatic Illustration of Short Texts via Web Images
2015
In this paper we propose a totally unsupervised and automatic illustration method, which aims to find onto the Web a set of images to illustrate the content of an input short text. The text is modelled as a semantic space and a set of relevant keywords is extracted. We compare and discuss different methods to create semantic representations by keyword extraction. Keywords are used to query Google Image Search engine for a list of relevant images. We also extract information from the Web pages that include the retrieved images, to create an Image Semantic Space, which is compared to the Text Semantic Space in order to rank the list of retrieved images. Tests showed that our method achieves v…
Named Entity Recognition and Linking in Tweets Based on Linguistic Similarity
2017
This work proposes a novel approach in Named Entity rEcognition and Linking (NEEL) in tweets, applying the same strategy already presented for Question Answering (QA) by the same authors. The previous work describes a rule-based and ontology-based system that attempts to retrieve the correct answer to a query from the DBPedia ontology through a similarity measure between the query and the ontology labels. In this paper, a tweet is interpreted as a query for the QA system: both the text and the thread of a tweet are a sequence of statements that have been linked to the ontology. Provided that tweets make extensive use of informal language, the similarity measure and the underlying processes …
An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project
2012
The paper illustrates the implementation and semantic enhancement of a domain-oriented Question-Answering system based on a pattern-matching chat bot technology, developed within an industrial project, named FRASI. The main difficulty in building a KB for a chat bot is to handwrite all possible question-answer pairs that constitute the KB. The proposed approach simplifies the chat bot realization thanks to two solutions. The first one uses an ontology, which is exploited in a twofold manner: to construct dynamic answers as a result of an inference process about the domain, and to automatically populate, off-line, the chat bot KB with sentences that can be derived from the ontology, describi…
Towards a Smart Campus Through Participatory Sensing
2018
In recent years, the percentage of the population owning a smartphone has increased significantly. These devices provide users with more and more functions that make them real sensing platforms. Exploiting the capabilities offered by smartphones, users can collect data from the surrounding environment and share them with other entities in the network thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi. In this work, we present a system based on participatory sensing paradigm using smartphones to collect and share local data in order to monitor make a campus 'smart'. In particular, our system infers the activities performed by users (e.g., students) in a campus in order …
Novel Human-to-Human Interactions from the Evolution of HCI
2011
The interaction ways made available by the evolution of the human-computer interfaces, led to novel Human-to-Human Interaction (HHI) modes, enabling people to cooperate for almost any task any time and any where. HHI nowadays is largely indirect and mediated by a wide variety of technologies and devices. This new and exciting field of design originates from the convergence of a few well-established research fields within the HCI area, such as traditional Graphical User Interfaces (GUI), Tangible User Interfaces (TUI), Touchless Gesture User Interface (TGUI), Voice User Interfaces (VUI), and Brain Computer Interfaces (BCI). We analyze and describe the evolution of the HCI in those fields, an…