Deep Learning and Sentiment Analysis for Human-Robot Interaction

In this paper we present an ongoing work showing to what extent semantic technologies, deep learning and natural language processing can be applied within the field of Human-Robot Interaction. The project has been developed for Zora, a completely programmable and autonomous humanoid robot, and it aims at allowing Zora to interact with humans using natural language. The robot is capable of talking to the user and understanding sentiments by leveraging our external services, such as a Sentiment Analysis engine and a Generative Conversational Agent, which is responsible for generating Zora’s answers to open-dialog natural language utterances.

[1]  Mihai Surdeanu,et al.  The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.

[2]  Christopher Potts,et al.  Learning Word Vectors for Sentiment Analysis , 2011, ACL.

[3]  Kerstin Dautenhahn,et al.  Roles and functions of robots in human society: implications from research in autism therapy , 2003, Robotica.

[4]  Diego Reforgiato Recupero,et al.  Fine-Grained Sentiment Analysis on Financial Microblogs and News Headlines , 2017, SemWebEval@ESWC.

[5]  Bo Pang,et al.  A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.

[6]  Diego Reforgiato Recupero,et al.  Semantic Sentiment Analysis Challenge at ESWC2017 , 2017, SemWebEval@ESWC.

[7]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[8]  Cristian Danescu-Niculescu-Mizil,et al.  Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs , 2011, CMCL@ACL.

[9]  Oswaldo Ludwig,et al.  End-to-end Adversarial Learning for Generative Conversational Agents , 2017, ArXiv.

[10]  Diego Reforgiato Recupero,et al.  A Semantic Web Based Core Engine to Efficiently Perform Sentiment Analysis , 2014, ESWC.

[11]  Diego Reforgiato Recupero,et al.  FineNews: fine-grained semantic sentiment analysis on financial microblogs and news , 2019, Int. J. Mach. Learn. Cybern..

[12]  Maurizio Atzori,et al.  Towards Semantic Approaches for General-Purpose End-User Development , 2018, 2018 Second IEEE International Conference on Robotic Computing (IRC).