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proponente: Paulo Novais
instituição/empresa: Universidade do Minho
tema/título: Sentiment classification on customer feedback data
área científica: Intelligent Systems
local: DI
curso de mestrado: Mestrado em Engenharia Informática
descrição:
Motivation: Build a platform capable of providing a feedback value for each customer feedback
data/message, and calculate statistical data of the general opinion. Description Software companies typically receive high volumes of electronic customer feedback every
day, some of it in the form of elicited surveys, some of it in the form of unsolicited comments,
suggestions, criticism. In order to react to that feedback quickly, and to direct it to the
appropriate channels inside the company, it is desirable to provide an intelligent and automatic
classification of the feedback along two dimensions: 1.What is the feedback about? 2. Is the feedback positive or negative? Through the use of text mining techniques, this tool must predict a feedback value (from 0-10) based
on the sentiment analysis of the customer feedback message.


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