Sentiment Analysis on Product-Service Systems

• Autor(a) principal: Góis, Guilherme Nuno Campos
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/63797
• topic: sentiment; opinion; product-service system; social networks; prediction; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

The main goal of this dissertation is to develop a tool to help each company reduce the amount of failed product-service systems that were avoidable due previous experience. By using tools and ideas already available and build them in a way they can interact with each other, this tool aims to give designers a better as faster way to view data. This was identified as a possible improvement since for the past 20 years the economy evolved into a consumer driven market, this led to the development of an extremely competitive economy. Companies need to strive for innovation and quality of products and services, faster than never. Products and services also need to match the expectations and needs of customers. Analyzing where product and service systems are lacking in terms of customer requirements is crucial. Currently it might take some time for information to travel from customer to producer, since the connection may include stores and local representatives before reaching the products’ and services’ designers. Although this information is readily available in social networks, the issue resides in efficiently merging and showing it in a simple and meaningful way to the designer of new products and systems. By shortening the time spent for information travel between costumer and producer, might lead to better and more innovative products.