N. 13 - 27 ott 2010
International info a cura di Cecilia Migali
Awakened as a promising young scientist in computer science and applied mathematics, Andrea Esuli, researcher at Isti-Cnr, is the first Italian winner in 16 editions of the Cor Baayen Award. During the course of his PhD work and his postdoctoral research, he has obtained outstanding results by combining cutting-edge speculative reasoning with top-quality technical solutions, and has produced results of unquestionable societal and commercial value.
Neither a purely theoretical thinker, nor a mere experimenter, he has shown to be a mature researcher with the ability to conceive innovative solutions and immediately test them. Esuli's activities and results range from academic research to the development of industrial-strength innovative applications. Concerning the former aspect, he must be credited (among others) with being one of the early researchers in the field of sentiment analysis and opinion mining, a tiny niche field in 2005 when Andrea published his first paper on the subject,
One of the results of his PhD research on lexical resources for opinion mining is SentiWordNet, a lexical resource licensed to more than 400 research labs/companies worldwide, and widely considered the reference lexical resource for opinion mining applications. The systems developed in the course of his research on supervised machine learning algorithms, training data cleaning, and active learning for automatic text classification, are now part of the Verbatim coding system (Vcs), a highly successful software system for the analysis of textual answers returned by respondents to questions issued in the context of opinion surveys. Vcs, the recipient of one international and one national award, has been licensed to corporate end users whose Customer Relationship Management departments use it in their daily operations, and is now an integral part of the Ascribe (Tm) platform marketed by Language logic (http://www.languagelogic.info/), the world leader in the provision of survey management software services. A more recent thread of Esuli's research is on highly efficient similarity search, for which he has developed a novel algorithm based on prefix-permutation indexing. In addition to generating scientific publications, the Cnr researcher has turned this algorithm into a working search engine for images (http://mipai.esuli.it/) that currently allows image similarity search on Cophir, the largest image dataset available for research purposes. Esuli's algorithm allows similarity searches to be conducted on CoPhIR in sub-second response times, a feat currently neither attained nor approached by competing systems.
Since 2005 he has been working at Isti-Cnr in Pisa, where he has carried out research in the areas of text classification, information extraction, and opinion mining.
Fonte: Andrea Esuli, Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo", Pisa, tel. +39 050 315 3054, email firstname.lastname@example.org
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