Dr Marco Palomino

Biography

Dr Marco Palomino's research lies in the field of social media analytics, which is closely related to data science and employs a variety of tools and techniques to examine large volumes of data to extract meaningful insights and inform decisions and strategies. I have followed an interdisciplinary approach to contribute to the understanding of public opinion, trends, and behaviours across several topics. This has led me to address questions at the cutting edge of news, politics, and marketing.

Previously, I have published my work on the following areas:

• Sentiment Analysis: The process of computationally identifying and categorising opinions expressed in text. I have worked on the application of sentiment analysis tools and the impact of pre-processing on the performance of such tools.

• Spatiotemporal databases: A spatiotemporal database is a repository that records and manages both space and time information. Typically, such databases capture the movement of objects. I am interested in detecting periodic patterns on such databases, because this may reveal underlying structures and help in making predictions.

• Social robots: Technology has the potential to support the ageing in place of healthy older adults. I have investigated how home automation could enable older people to live independently for longer, while exploring the engagement of older adults with technology.

• Web-based horizon scanning: My research focused on the acquisition of real-time, web-based information on emerging trends, opportunities and constraints that might affect the probability of achieving management goals and objectives. At the time, my work allowed for better preparedness and the incorporation of mitigation and exploitation into the policy making process.

• Web crawling: Search engines make use of large indices of word occurrences on Web pages to cross-reference Web sites to keywords. Such indices are maintained by crawlers, a special kind of computer program that browses the Web autonomously.

Prizes and Awards

In 2014, Marco Palomino won a Highly Commended Paper award by the Emerald Literati Network. The award was granted at the 2014 Meeting of the Academy of Management. Emerald runs these awards to acknowledge the excellent contributions made by its authors, editors, and reviewers.

Research Overview

Dr Marco Palomino's My research lies on the field of natural language processing and, particularly, sentiment analysis, the process of computationally identifying and categorising opinions expressed in text.

Current Research

Recently, Dr Marco Palomino has published research on the following topics.

Spatiotemporal databases: A spatiotemporal database is a repository that records and manages both space and time information. Typically, such databases capture the movement of objects. I am interested in detecting periodic patterns on such databases, because this may reveal underlying structures and help in making predictions. You can read about my recent work at https://www.mdpi.com/2504-2289/8/6/59