0000000000214745
AUTHOR
Daniela Gîfu
Linguistic interpretation of speech errors
The paper is an attempt to illustrate the linguistic interpretation of speech, known that it remains insufficiently resolved, especially for Romanian. The cause is given by the multitude of criteria that can or should be considered important in speech processing. The aim of this study is to develope a computational tool in order to identify the possible errors related to the morphosintactic structure of speech. Our goal is to assist users who can receive automatically different suggestions that can help them to improve the quality of their text. Thus, we chose an interdisciplinary approach through speech analysis that brings together the key fields of linguistics, computer science and so on…
Machine Learning and Creative Methods Used to Classify Customers in a CRM Systems
Considering the fact that business processes are becoming more and more customer-oriented, marketing and connecting top management to the customers are extremely important, which should be given a special attention, taking into account the globalization and the increasing market competition. Due to the exponential growth of data volume, in any field, it was necessary to use and develop new methods and techniques for discovering hidden information in data, information almost impossible to be detected by traditional means, based on human analysis skills. This paper presents a pre-processing method for mining data in order to support decision makers in developing coherent and saleable strategi…
Online Civic Identity. Extraction of Features
Abstract The paper presents the importance of study the reactions of the readers and writers of online journals forums from the civic identity point of view, in order to put in evidence categories of publics in the benefit of media, persons and groups. The method is intended to help journalists, PR specialists who are motivated to understand their publics and to target them in a more precise way, in order to upgrade the impact of their online discourse on the people in the community, to know how deep the civic involvement of the people is to the problems of the community.
A Solution for Medical Information Management
Abstract Nowadays, the amount of data that is being generated by medical devices has exponentially increased. The aim of this paper is to develop an integrated health data management tool, that aggregates data from various sources, which are in various formats. With the aid of artificial intelligence (AI), this data will be processed and will help healthcare professionals be aware of the improvements that could make the healthcare system be more preventive, predictive and personalized. This paper introduces an integrated medical information management system – that intends to manage medical activities in hospitals, clinics and laboratories and describes its development and future directions…
A Novel User Interface for Knowledge Base Browsing
Abstract Intuitive user interfaces have been of great concern for GUI developers. The current research, who deals with their designing, faces the term intuitive constantly. The main question is how can the Interface be intuitive? For the moment, the researchers try to provide a very intuitive generic user interface that can be used in a variety of applications. In this paper we provide a solution that can model any applied ontology into a honeycomb menu. The hexagonal shape of the honeycomb has attracted the attention of humans for centuries. As a relevant consequence, the final user can browse any knowledge base very easily with the aid of this interface. Another useful feature is that pro…
Detecting Emotions in Comments on Forums
The paper presents one of the most important issues in Natural Language Processing (NLP), emotion identification and classification to implement a computational technology based on existing resources, open-source or freely available for research purposes. Furthermore, we are interested to use it for establishing Gold standards in sentiment analysis area, such as SentiWordNet. In this sense, we propose to recognize and classify the emotions (sentiments) of the public consumer from the written texts which appeared on the various Forums. We analyse the writing style which refers to how consumers construct sentences together when they write comments to indicate their passion about an entity (pe…
Detecting Bridge Anaphora
The paper presents one of most important issues in natural language processing (NLP), namely the automated recognition of semantic relations (in this case, bridge anaphora). In this sense, we propose to recognize automatically, as accurately as possible, this type of relations in a literary corpus (the novel Quo Vadis), knowing that the diversity and complexity of relations between entities is impressive. Furthermore, we defined and classified the bridge anaphora type relations based on annotation conventions. In order to achieve the main goal, we developed a computational instrument, BAT (Bridge Anaphora Tool), currently still in a test (and implicitly an improvable) version. This study is…