In this work we present a system for the automatic analysis of text comments related to food products. Systematic analysis means allowing an analyst to have at a glance all the needed aggregated data and results that summarize the meaning of hundreds or thousands of comments, written in natural language. The analysis of the comments, and therefore the choices of the consumers, can therefore constitute a patrimony of very high value for the companies of the sector. At this aim we implemented a system, developed in Python. It uses the state of the art libraries of processing texts written in natural language, because the messages in natural language collected on the domain of food are written in Italian language. © Springer Nature Switzerland AG 2020.
Opinion Mining in Consumers Food Choice and Quality Perception / Amato, A.; Cozzolino, G.; Giacalone, M.. - 96:(2020), pp. 310-317. [10.1007/978-3-030-33509-0_28]
Opinion Mining in Consumers Food Choice and Quality Perception
Cozzolino, G.
;Giacalone, M.
2020
Abstract
In this work we present a system for the automatic analysis of text comments related to food products. Systematic analysis means allowing an analyst to have at a glance all the needed aggregated data and results that summarize the meaning of hundreds or thousands of comments, written in natural language. The analysis of the comments, and therefore the choices of the consumers, can therefore constitute a patrimony of very high value for the companies of the sector. At this aim we implemented a system, developed in Python. It uses the state of the art libraries of processing texts written in natural language, because the messages in natural language collected on the domain of food are written in Italian language. © Springer Nature Switzerland AG 2020.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
