Sentiment and Authority Analysis in Conversational Content

Machová, Kristína; Mikula, Martin; Szabóová, Martina; Mach, Marián

doi:10.4149/cai_2018_3_737

Cited by 6 publications

(2 citation statements)

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“…[1] propose a deep learning network for sentiment analysis. There are also some research and application of sentiment analysis, such as Sánchez et al [4] introduce an open-source service framework for sentiment analysis, Huddar et al [5] propose a multi-level feature optimization model for sentiment analysis, Chen et al [7] propose a personalized recommendation model based on sentiment analysis, Machová et al [8] study sentiment analysis in conversation content.…”

Section: Related Workmentioning

confidence: 99%

Sentiment Analysis of News Reports in the Period of New Coronavirus

Li¹,

Pan²

2021

dtcse

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The spread of new coronavirus has a significant impact on the world. To protect people from viruses, a large number of personnel and substances in research, production, medical treatment, and other aspects are used to deal with the virus. News reporting is an important way for people to obtain information about the coronavirus. Objective and immediate news reports can provide people with accurate information and correct response methods, thus playing their due role in defeating the coronavirus. In order to compare the emotional characteristics of news reports, the methods of natural language processing are used to conduct sentiment analysis on news reports, including the subjectivity and the polarity of news reports. We select the news websites of BBC and CNN, that have an important influence in the world, for comparative analysis. The results show that BBC news reports are more positive than CNN, and in terms of subjective, BBC News is more factual than CNN.

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Section: Related Workmentioning

confidence: 99%

Sentiment Analysis of News Reports in the Period of New Coronavirus

Li¹,

Pan²

2021

dtcse

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“…The final model then enables significantly higher number of phrases than fixed grammar. Also the detection of emotions from the recognized speech could be applied [39] for more natural human-like communication behavior.…”

Section: Voice Controlmentioning

confidence: 99%

Case Study on Human-Robot Interaction of the Remote-Controlled Service Robot for Elderly and Disabled Care

Chivarov

Chikurtev

Chivarov³

et al. 2019

cai

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The tendency of continuous aging of the population and the increasing number of people with mobility difficulties leads to increased research in the field of Assistive Service Robotics. These robots can help with daily life tasks such as reminding to take medications, serving food and drinks, controlling home appliances and even monitoring health status. When talking about assisting people in their homes, it should be noted that they will, most of the time, have to communicate with the robot themselves and be able to manage it so that they can get the most out of the robot's services. This research is focused on different methods of remote control of a mobile robot equipped with robotic manipulator. The research investigates in detail methods based on control via gestures, voice commands, and web-based graphical user interface. The capabilities of these methods for Human-Robot Interaction (HRI) have been explored in terms of usability. In this paper, we introduce a new version of the robot Robco 19, new leap motion sensor control of the robot and a new multi-channel control system. The paper presents methodology for performing the HRI experiments from human perception and summarizes the results in applications of the investigated remote control methods in real life scenarios.

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