scholarly journals ODO: Design of Multimodal Chatbot for an Experiential Media System

2020 ◽  
Vol 4 (4) ◽  
pp. 68
Author(s):  
Ravi Bhushan ◽  
Karthik Kulkarni ◽  
Vishal Kumar Pandey ◽  
Connor Rawls ◽  
Brandon Mechtley ◽  
...  
Keyword(s):  
Language Processing ◽  
Multimedia System ◽  
Emotion Classification ◽  
Interactive Games ◽  
Media System ◽  
Distributed Multimedia System ◽  
Interactive Theater ◽  
Led Array ◽  
Unique Experience ◽  
Crowd Movement

This paper presents the design of a multimodal chatbot for use in an interactive theater performance. This chatbot has an architecture consisting of vision and natural language processing capabilities, as well as embodiment in a non-anthropomorphic movable LED array set in a stage. Designed for interaction with up to five users at a time, the system can perform tasks including face detection and emotion classification, tracking of crowd movement through mobile phones, and real-time conversation to guide users through a nonlinear story and interactive games. The final prototype, named ODO, is a tangible embodiment of a distributed multimedia system that solves several technical challenges to provide users with a unique experience through novel interaction.

scholarly journals Emotion Classification in Spanish: Exploring the Hard Classes

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 438
Author(s):  
Aiala Rosá ◽  
Luis Chiruzzo
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Emotion Classification

The study of affective language has had numerous developments in the Natural Language Processing area in recent years, but the focus has been predominantly on Sentiment Analysis, an expression usually used to refer to the classification of texts according to their polarity or valence (positive vs. negative). The study of emotions, such as joy, sadness, anger, surprise, among others, has been much less developed and has fewer resources, both for English and for other languages, such as Spanish. In this paper, we present the most relevant existing resources for the study of emotions, mainly for Spanish; we describe some heuristics for the union of two existing corpora of Spanish tweets; and based on some experiments for classification of tweets according to seven categories (anger, disgust, fear, joy, sadness, surprise, and others) we analyze the most problematic classes.

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