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Can I read Big Data and Automatic Detection of Topics: Social Network Texts on EtoBox?
Big Data and Automatic Detection of Topics: Social Network Texts by Jesús Silva; Hugo Hernández Palma; William Niebles Núñez; Alex Ruiz-Lazaro; Noel Varela is a Physics and Astronomy article available to read on EtoBox.
What is Big Data and Automatic Detection of Topics: Social Network Texts about?
## Abstract This paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to identify and eliminate those terms that present a sentimental orientation in social network texts, which can negatively influence the detection of topics. To this end, two resources were used to analyze feelings in order to detect these terms. The proposed system was evaluated with real data sets from the Twitter and Facebook social networks in English and Spanish respectively, demonstrating in both cases the influence of sentimentally oriented terms in the detection of topics in social network texts.
Who reads Big Data and Automatic Detection of Topics: Social Network Texts?
It is typically read by researchers, students, and practitioners in Physics and Astronomy.
- Author
- Jesús Silva; Hugo Hernández Palma; William Niebles Núñez; Alex Ruiz-Lazaro; Noel Varela
- Publisher
- Institute of Physics; IOP Publishing (ISSN 1742-6588)
- Published
- 2020
- Language
- EN
- Field
- Physics and Astronomy (Physical Sciences)