Intelligent algorithms for social robotics

This project aims to evaluate the conversational abilities of a social robot, Nadine. The analysis was done by analysing the text data collected from her conversations with humans, when Nadine was “working” as a receptionist at ArtScience Museum. As sentiment is an element that highly affects the qu...

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Main Author: Sim, Seen Zod
Other Authors: Justin Dauwels
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74546
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-745462023-07-07T17:35:37Z Intelligent algorithms for social robotics Sim, Seen Zod Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering This project aims to evaluate the conversational abilities of a social robot, Nadine. The analysis was done by analysing the text data collected from her conversations with humans, when Nadine was “working” as a receptionist at ArtScience Museum. As sentiment is an element that highly affects the quality of the interaction between human and social robots, this project focuses on sentiment analysis, through two approaches. The sentiment polarity of Nadine’s and human’s speeches were classified using Naïve Bayes (NB) classifier. This part of analysis presents the percentage of negativity in the speeches of both parties. Nadine’s sentiment in the conversations was determined to be slightly more negatively inclined than human’s. As a numerical measure is needed to evaluate the degree of positivity and negativity in their speeches, the sentiment score of each speech spoken by Nadine and human was obtained using the SentiWordNet lexicon-based approach. From there, speeches with the most positive or negative sentiment were obtained. To improve the quality of the interaction between Nadine and human, the sentences with highly negative sentiment scores are suggested to be avoided or rephrased into more positively inclined sentences. The findings drawn from our analysis serves as a reference for improving the conversational systems of Nadine or other social robots. Bachelor of Engineering 2018-05-21T06:49:42Z 2018-05-21T06:49:42Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74546 en Nanyang Technological University 61 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Sim, Seen Zod
Intelligent algorithms for social robotics
description This project aims to evaluate the conversational abilities of a social robot, Nadine. The analysis was done by analysing the text data collected from her conversations with humans, when Nadine was “working” as a receptionist at ArtScience Museum. As sentiment is an element that highly affects the quality of the interaction between human and social robots, this project focuses on sentiment analysis, through two approaches. The sentiment polarity of Nadine’s and human’s speeches were classified using Naïve Bayes (NB) classifier. This part of analysis presents the percentage of negativity in the speeches of both parties. Nadine’s sentiment in the conversations was determined to be slightly more negatively inclined than human’s. As a numerical measure is needed to evaluate the degree of positivity and negativity in their speeches, the sentiment score of each speech spoken by Nadine and human was obtained using the SentiWordNet lexicon-based approach. From there, speeches with the most positive or negative sentiment were obtained. To improve the quality of the interaction between Nadine and human, the sentences with highly negative sentiment scores are suggested to be avoided or rephrased into more positively inclined sentences. The findings drawn from our analysis serves as a reference for improving the conversational systems of Nadine or other social robots.
author2 Justin Dauwels
author_facet Justin Dauwels
Sim, Seen Zod
format Final Year Project
author Sim, Seen Zod
author_sort Sim, Seen Zod
title Intelligent algorithms for social robotics
title_short Intelligent algorithms for social robotics
title_full Intelligent algorithms for social robotics
title_fullStr Intelligent algorithms for social robotics
title_full_unstemmed Intelligent algorithms for social robotics
title_sort intelligent algorithms for social robotics
publishDate 2018
url http://hdl.handle.net/10356/74546
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