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Authors
Abstract(s)
Vivemos atualmente num período de grande entusiasmo, devido ao exponencial do surgimento
de diversas ferramentas associadas às normas e tecnologias agregadas às adaptabilidades não
supervisionadas, independentes da língua do utilizador. Apesar disso, o uso dessas ferramentas
não está acessível a todos os utilizadores, sendo que se assume como um obstáculo. Assumindo
que o sucesso de qualquer tecnologia se encontra dependente da sua aceitação por parte dos
seus utilizadores, a presente investigação pretende contribuir para uma exposição de conceitos,
normas e tecnologias associadas às sociedades adaptáveis, com métodos e técnicas que
permitem uma maior familiarização das interfaces adaptáveis, não supervisionadas ao perfil
dos utilizadores.
Este trabalho propõe um estudo sobre a análise de uma adaptabilidade não supervisionada independente
da língua não supervisionada para um perfil linguístico com uso de métodos e técnicas
de processamento de linguagem natural (PLN) usando a similaridade assimétrica com o
uso de técnicas de extração de textos e, posteriormente, avaliar as similaridades encontradas.
Foram utilizados métodos linguísticos e técnicas uniformes, baseados no perfil linguístico do
utilizador, enquanto medida comparada na variedade de línguas com base num vasto leque de
línguas potencialmente heterogéneas variáveis, onde se focaliza especificamente uma caraterística
metodológica baseada na adaptabilidade não supervisionada independente da língua do
perfil linguístico do utilizador.
Devido à grande quantidade de informação disponível atualmente no meio eletrónico, uma das
tarefas consiste na classificação adaptável do perfil de um utilizador e na extração de termos
relevantes e não relevantes que tem vindo a ganhar importância nas pesquisas realizadas nas
áreas de extração de termos e na recuperação de informações.
A média apresenta melhores resultados do que as combinações baseadas na estratégia de classificação
de melhores resultados. O método proposto parece ser útil para desambiguar uma
grande percentagem de consultas temporais para os utilizadores.
We are currently living in a period of great enthusiasm, due to the exponential emergence of several tools associated with the norms and technologies added to the unsupervised adaptations, independent of the user’s language. Despite this, the use of these tools is not accessible to all users, and is assumed to be an obstacle. Assuming that the success of any technology depends on its acceptance by its users, the present research intends to contribute to an exposition of concepts, norms and technologies associated to adaptive societies, with methods and techniques that allow a greater familiarization of adaptive interfaces , not supervised to the profile of the users. his work proposes a study on the analysis of an unsupervised adaptability independent of the unsupervised language for a linguistic profile using natural language processing methods and techniques (PLN) using asymmetric similarity with the use of text extraction techniques and , later, to evaluate the similarities found. Uniform linguistic and technical methods were used, based on the user’s linguistic profile, as a comparative measure in the variety of languages based on a wide range of potentially heterogeneous variable languages, where a methodological feature based specifically on unsupervised adaptability independent of the language of the profile language. Due to the large amount of information currently available in the electronic environment, one of the tasks consists in adapting a user’s profile and in extracting relevant and non-relevant terms that have gained importance in research in the areas of term extraction and in information retrieval. The average has better results than the combinations based on the strategy of classification of better results. The proposed method seems to be useful for disambiguating a large percentage of temporal queries for users.
We are currently living in a period of great enthusiasm, due to the exponential emergence of several tools associated with the norms and technologies added to the unsupervised adaptations, independent of the user’s language. Despite this, the use of these tools is not accessible to all users, and is assumed to be an obstacle. Assuming that the success of any technology depends on its acceptance by its users, the present research intends to contribute to an exposition of concepts, norms and technologies associated to adaptive societies, with methods and techniques that allow a greater familiarization of adaptive interfaces , not supervised to the profile of the users. his work proposes a study on the analysis of an unsupervised adaptability independent of the unsupervised language for a linguistic profile using natural language processing methods and techniques (PLN) using asymmetric similarity with the use of text extraction techniques and , later, to evaluate the similarities found. Uniform linguistic and technical methods were used, based on the user’s linguistic profile, as a comparative measure in the variety of languages based on a wide range of potentially heterogeneous variable languages, where a methodological feature based specifically on unsupervised adaptability independent of the language of the profile language. Due to the large amount of information currently available in the electronic environment, one of the tasks consists in adapting a user’s profile and in extracting relevant and non-relevant terms that have gained importance in research in the areas of term extraction and in information retrieval. The average has better results than the combinations based on the strategy of classification of better results. The proposed method seems to be useful for disambiguating a large percentage of temporal queries for users.
Description
Keywords
Adaptabilidade Adaptáveis Homem-Máquina Inteligente Interface Perfil Stopwords Utilizador