3 research outputs found
Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA
Information and communications technologies have enabled the rise of the
phenomenon named sharing economy, which represents activities between people,
coordinated by online platforms, to obtain, provide, or share access to goods
and services. In hosting services of the sharing economy, it is common to have
a personal contact between the host and guest, and this may affect users'
decision to do negative reviews, as negative reviews can damage the offered
services. To evaluate this issue, we collected reviews from two sharing economy
platforms, Airbnb and Couchsurfing, and from one platform that works mostly
with hotels (traditional economy), Booking.com, for some cities in Brazil and
the USA. Trough a sentiment analysis, we found that reviews in the sharing
economy tend to be considerably more positive than those in the traditional
economy. This can represent a problem in those systems, as an experiment with
volunteers performed in this study suggests. In addition, we discuss how to
exploit the results obtained to help improve users' decision making
Towards Business Partnership Recommendation Using User Opinion on Facebook
The identification of strategic business partnerships can potentially provide
competitive advantages for businesses; however, due to the dynamics and
uncertainty present in business environments, this task could be challenging.
To help businesses in this task, this study presents a similarity model between
businesses that consider the opinions of users on content shared by businesses
on social media. Thus, this model captures significant virtual relationships
among businesses that are generated by users in the virtual world. Besides, we
propose an algorithm for detecting business communities in the considered
model. We also propose an algorithm to identify possible business outliers in
the detected communities, which could represent an automatic way to identify
non-obvious relations that might deserve particular attention of business
owners. By exploring approximately 280 million user reactions on Facebook, we
show that our results could favor the development of, for example, a new
strategic business partnership recommendation service
Computa\c{c}\~ao Urbana da Teoria \`a Pr\'atica: Fundamentos, Aplica\c{c}\~oes e Desafios
The growing of cities has resulted in innumerable technical and managerial
challenges for public administrators such as energy consumption, pollution,
urban mobility and even supervision of private and public spaces in an
appropriate way. Urban Computing emerges as a promising paradigm to solve such
challenges, through the extraction of knowledge, from a large amount of
heterogeneous data existing in urban space. Moreover, Urban Computing
correlates urban sensing, data management, and analysis to provide services
that have the potential to improve the quality of life of the citizens of large
urban centers. Consider this context, this chapter aims to present the
fundamentals of Urban Computing and the steps necessary to develop an
application in this area. To achieve this goal, the following questions will be
investigated, namely: (i) What are the main research problems of Urban
Computing?; (ii) What are the technological challenges for the implementation
of services in Urban Computing?; (iii) What are the main methodologies used for
the development of services in Urban Computing?; and (iv) What are the
representative applications in this field?Comment: in Portuguese. Simp\'osio Brasileiro de Redes de Computadores e
Sistemas Distribu\'idos (SBRC) 2019 - Minicurso