Jesús Peral
University of Alicante
56 Papers
192 Citations
Jesús Peral is an academic researcher from University of Alicante. The author has contributed to research in topics: Computer science & Question answering. The author has an hindex of 12, co-authored 56 publications.
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Papers
A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making
TL;DR: This work proposes a framework to automatically analyse these reviews, transforming negative and positive user opinions in a quantitative score, and ranks the best products by price alongside their respective sentiment value and the 5-Star score.
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Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining
TL;DR: This work is able to improve recommender systems by using positive, neutral, and negative customer opinions and by classifying customers based on their comments, and proves the validity of the approach in a case study using big data extracted from Amazon online reviews, obtaining satisfactory and promising results.
An algorithm for anaphora resolution in Spanish texts
Manuel Palomar,Lidia Moreno,Jesús Peral,Rafael Muñoz,Antonio Ferrández,Patricio Martínez-Barco,Maximiliano Saiz-Noeda +6 more
TL;DR: An algorithm for identifying noun phrase antecedents of third person personal pronouns, demonstrative pronouns, reflexive pronouns, and omitted pronouns (zero pronouns) in unrestricted Spanish texts is presented.
Application of Data Mining techniques to identify relevant Key Performance Indicators
TL;DR: A new approach to combining Data Mining techniques to obtain specific KPIs for business objectives in a semi-automated way is presented, which means that organizations do not need to rely on existing KPI lists or test KPIs over a cycle as they can analyze their behavior using existing data.
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A computational approach to zero-pronouns in Spanish
Antonio Ferrández,Jesús Peral +1 more
- 03 Oct 2000
TL;DR: This approach has been evaluated with partial parsing of the text and the results obtained show that these pronouns can be resolved using similar techniques that those used for pronominal anaphora.
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