Banca de DEFESA: DIEGO ASCANIO SANTOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : DIEGO ASCANIO SANTOS
DATE: 30/11/2022
TIME: 14:00
LOCAL: Plataforma Webconferencia RNP
TITLE:

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KEY WORDS:

Chatbots, Sentiment Analysis, Sentiment Anotation, Chatbots’ Quality, Correlation

PAGES: 66
BIG AREA: Outra
AREA: Multidisciplinar
SUMMARY:

Chatbots with good quality are able to maintain service expectations and therefore, increase users’ retention, engagement, and satisfaction. Users’ opinion — available through surveys — is considered to measure chatbots’ quality, but, even if widely considered by academy and industry, it has several limitations such as: being subject to biases and careless evaluations from users, as well, the impossibility to being measured in real-time. To address these limitations, there are quality attributes that can mitigate them. Textual sentiment is one of those attributes, since textual sentiment is correlated to chatbots’ dialogs quality and can be measured in real-time. Therefore, through literature references that investigate the correlation between textual sentiment and chatbots’ quality, this work replicates correlation experiments over a specific dialogue corpora mentioned by one of the references, whose correlation results between sentiment and dialog quality weren’t shown, assuring that there is a correlation between textual sentiment and chatbots’ quality over this specific dialogue dataset.

BANKING MEMBERS:
Externo ao Programa - DANIEL HASAN DALIP
Presidente - GUSTAVO CAMPOS MENEZES
Externa ao Programa - LIVIA MARIA DUTRA
Externa à Instituição - MICHELE AMARAL BRANDÃO - IFMG
Interno - THIAGO MAGELA RODRIGUES DIAS