Abstract
In this paper we present a web application that exploits OpeNER Cloud Services. Ent-it-UP monitors Social Media and traditional Mass Media contents, performing multilingual Named Entity Recognition and Sentiment Analysis. Since consumers tend to trust the opinion of other consumers, reviews and ratings on the internet are increasingly important. Given the huge amount of data flowing in the web, it has become necessary to adopt an automatic data analysis strategy, in order to understand what people think about a certain product, brand or topic. The goal of Ent-it-Up is to carry out statistics about retrieved entities and display results in a communicative, intuitive and user friendly interface. In this way the final user can easily have a hint about people opinions without wasting too much time in analyzing the huge amount of User-Generated Content.
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Pupi, S., Di Pietro, G., Aliprandi, C. (2014). Ent-it-UP. In: Stephanidis, C. (eds) HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Communications in Computer and Information Science, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-319-07854-0_1
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DOI: https://doi.org/10.1007/978-3-319-07854-0_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07853-3
Online ISBN: 978-3-319-07854-0
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