scholarly journals A study of the possibilities of text mining and machine learning for score evaluation and review content

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Yuko Taniguchi ◽  
Kazuhiko Tsuda
Keyword(s):  
Text Mining ◽  
Word Of Mouth ◽  
Comprehensive Evaluation ◽  
Expert Advice ◽  
The Internet ◽  
Overall Evaluation ◽  
Use Of The Internet ◽  
Using Data ◽  
Learning Data ◽  
Score Evaluation

With the widespread use of the Internet, there are more and more opportunities to purchase a variety of products through online shopping. The opportunities are not only for small products such as books, but also for home appliances. Previously, when purchasing a product, users who wanted to buy a product would visit a store and get expert advice on what to buy. Now, however, customers consider reviews on the Internet to be more important information for considering the products to be purchased. And evaluation page consists of an overall evaluation, an evaluation of each feature, and comments, which are word of mouth. The overall evaluation and the evaluation of each feature is often a score evaluation, and organized information such as the average and the distribution of scores are presented. However, it is difficult to read all the comments that are word of mouth because they are often enumerated as is. Therefore, in this study, we created a system to label which features people commented on in response to the word of mouth comments using data from the TV’s comprehensive evaluation page. 2392 TV evaluation results from Sony.com were used. From the extracted data, text mining was performed on the comments, which are word of mouth, followed by labels of which features are commented on. When 80\% of the test data was prepared and implemented against 20\% of the learning data, the label was predicted with 77\% accuracy. From this study, we used text mining to label the comments, which are customer impression. from the current study, text mining was used to label the comments, which are customer impression. The results and score ratings were used to identify customer trends.

The Impact of the Internet on Information Search for Automobiles

2003 ◽  
Vol 40 (2) ◽  
pp. 193-209 ◽  
Author(s):  
Brian T. Ratchford ◽  
Myung-Soo Lee ◽  
Debabrata Talukdar
Keyword(s):  
Information Search ◽  
Natural Experiment ◽  
The Internet ◽  
Search Effort ◽  
Use Of The Internet ◽  
Using Data ◽  
The Impact ◽  
Source Of Information

Using data from surveys of automobile buyers collected in 1990 and 2000 in a natural experiment setting, the authors study the determinants of use of the Internet as a source of information on automobiles, its impact on the use of other sources, and its impact on total search effort. The results indicate that the Internet draws attention in approximately the same proportion from other sources. The results also show that those who use the Internet to search for automobiles are younger and more educated and search more in general. However, the analysis also indicates that they would have searched even more if the Internet had not been present.

scholarly journals The demand and interest of patients with cardiosurgical pathology in remote dynamic follow up using Internet services

2021 ◽  
Vol 65 (3) ◽  
pp. 222-229
Author(s):  
Maria A. Sokolskaya ◽  
Vladimir A. Shvartz ◽  
Eleonora A. Hugaeva ◽  
Olga L. Bockeria
Keyword(s):  
Social Networks ◽  
Surgical Treatment ◽  
Modern Medicine ◽  
University Education ◽  
Expert Advice ◽  
The Internet ◽  
Internet Services ◽  
National Medical ◽  
Use Of The Internet

Modern medicine develops rapidly in the digital direction, and new information and telemedicine technologies are actively introduced in clinical practice. Purpose. To identify the category of cardiac surgical patients interested in the remote dynamic follow-up after the discharge from the hospital, using the Internet services and the factors that affect this. Material and methods. The study was conducted at the base of the department of surgical treatment of interactive pathology of the Bakoulev National Medical Research Center for Cardiovascular Surgery of the Russian Federation. The study was prospective. Before the discharge, patients answered a series of questions combined into an anonymous questionnaire. The questions concerned education, social status of the patient, age, gender, patient interest in remote follow up after discharge, use of the Internet and social networks, satisfaction with the treatment. Results. The study included 652 patients with a mean age of 58±12.5 years. 44% of them were women, 56% were men. More than 85% of patients expressed a positive opinion about such an initiative as using web services for remote consulting. Further analysis was aimed to identify possible differences between those patients who answered positively about remote follow up and those who were not interested. Statistically significant differences were revealed in the following indicators: education, sex, age, frequency of Internet use, use of social networks, place of residence and work status. Conclusions. The study confirms the demand among patients for the availability of services for their remote follow-up, which would perform the function of providing expert advice and the storage of archives of patients’ medical documents. Younger patients who are active Internet users and who have university education are potentially interested in this service. Such services would allow the patient to keep in touch with the doctor of the Department where surgical treatment was carried out, which would undoubtedly increase patients’ adherence to the treatment and recommendations.

Resisting Government Internet Surveillance by Participating in Politics Online and Offline

2011 ◽  
pp. 129-152 ◽  
Author(s):  
Brian S. Krueger
Keyword(s):  
Political Participation ◽  
Political Behavior ◽  
Political Activity ◽  
Sample Survey ◽  
The Internet ◽  
Internet Behavior ◽  
Internet Users ◽  
The Government ◽  
Use Of The Internet ◽  
Using Data

While more is probably known about the causes of political participation than any other political behavior, the research program suffers in that it generally assumes citizens operate within an unproblematic surveillance context. This chapter argues that the growing use of the Internet for political participation and the government’s expanded electronic surveillance capacities make this assumption increasingly dubious. Drawing on Michel Foucault’s insights concerning surveillance and resistance, I develop empirical hypotheses related to surveillance and Internet political participation. Testing these hypotheses using data derived from a unique probability sample survey of U.S. Internet users, surveillance is shown to influence online political activity. Those who oppose the current administration, and who perceive the government monitors their Internet behavior, participate in politics online at the highest rates. Next, I test whether perceptions of online surveillance lead to a similar higher probability of conventional offline political activity. The results suggest that for those opposed to the regime’s policies, online surveillance increases the likelihood of engagement in offline political participation.

Threat Detection in Cyber Security Using Data Mining and Machine Learning Techniques

2020 ◽  
pp. 234-253
Author(s):  
Daniel Kobla Gasu
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Intrusion Detection ◽  
Cyber Security ◽  
Attack Detection ◽  
Machine Learning Techniques ◽  
The Internet ◽  
Threat Detection ◽  
Use Of The Internet ◽  
Using Data

The internet has become an indispensable resource for exchanging information among users, devices, and organizations. However, the use of the internet also exposes these entities to myriad cyber-attacks that may result in devastating outcomes if appropriate measures are not implemented to mitigate the risks. Currently, intrusion detection and threat detection schemes still face a number of challenges including low detection rates, high rates of false alarms, adversarial resilience, and big data issues. This chapter describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection and cyber-attack detection. Key literature on ML and DM methods for intrusion detection is described. ML and DM methods and approaches such as support vector machine, random forest, and artificial neural networks, among others, with their variations, are surveyed, compared, and contrasted. Selected papers were indexed, read, and summarized in a tabular format.

scholarly journals The use of internet in management sciences: Evidence from higher educational institutions

2021 ◽  
Vol 8 (2) ◽  
pp. 60-63
Author(s):  
Saeed Omer Ali Bahaj ◽  
Keyword(s):  
Positive Attitude ◽  
Educational Institutions ◽  
The Internet ◽  
Higher Educational ◽  
Students Attitudes ◽  
Use Of The Internet ◽  
Using Data ◽  
College Of Business ◽  
The University ◽  
Use Of Internet

The purpose of this study was to explore the students' attitudes towards the use of the internet among students in the College of Business Administration at Prince Sattam bin Abdulaziz University for the academic year 2019-2020. Using data from a self-administered survey that was adopted and adapted from previous studies, the results of this study indicate that the respondents have a positive attitude toward using the internet, which is reflected in the high percentages of using the internet. The results of this study should be useful to policymakers at the university level and the classroom level as there is a positive attitude in disseminating knowledge in the higher educational setting.

FORUM - Word of Mouse - An Assessment of Electronic Word-of-Mouth Research

2009 ◽  
Vol 51 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Michael Breazeale
Keyword(s):  
Word Of Mouth ◽  
Information Gathering ◽  
Future Research ◽  
The Internet ◽  
Electronic Word Of Mouth ◽  
Research Directions ◽  
Future Research Directions ◽  
Funnel Technique ◽  
Use Of The Internet ◽  
Published Research

Word-of-mouth (WOM) communication has received a great deal of attention from marketing academics and practitioners alike. Widespread use of the internet for shopping, information gathering and entertainment purposes has changed not only the ways that WOM can be studied and manipulated but also the very nature of the phenomenon. Published research into electronic WOM (eWOM) first appeared in the top-level marketing journals only about ten years ago. Since that time, there has been a great deal of research but no synthesis of the knowledge that would allow one to draw conclusions regarding the evolving nature of WOM and to extend the theory applied to this topic. This paper will address that gap, applying the paradigm funnel technique and will suggest some future research directions.

Effects of real-world and virtual openness and Internet communication on social creativity: A serial mediation analysis

2018 ◽  
Vol 46 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Chuanhua Gu ◽  
Jingjing Song ◽  
Enhe Hao ◽  
Zongkui Zhou ◽  
Chuang Gao ◽  
...  
Keyword(s):  
Real World ◽  
Mediation Analysis ◽  
Central China ◽  
The Internet ◽  
Big Five Personality ◽  
Internet Communication ◽  
Serial Mediation ◽  
Social Creativity ◽  
Use Of The Internet ◽  
Using Data

We examined the effect of real-world and virtual openness and Internet communication on social creativity using data from 451 undergraduates in central China. They completed the Big Five Personality Inventory, the Social Creativity Questionnaire, and the Internet Interaction Questionnaire. Results of serial mediation analysis using a bias-corrected bootstrapping approach indicated that openness in real-world situations had a significant direct effect on social creativity. Virtual openness and Internet dependence, in combination, mediated the link between real-world openness and social creativity. Individuals' use of the Internet directly affected their personality and communication. Theoretical and practical implications are discussed.

Movement Societies and Digital Protest: Fan Activism and Other Nonpolitical Protest Online

2009 ◽  
Vol 27 (3) ◽  
pp. 220-243 ◽  
Author(s):  
Jennifer Earl ◽  
Katrina Kimport
Keyword(s):  
Social Movements ◽  
New Media ◽  
Social Movement ◽  
The Internet ◽  
Internet Studies ◽  
Random Samples ◽  
Use Of The Internet ◽  
Using Data ◽  
Made In

Sociologists of culture studying “fan activism” have noted an apparent increase in its volume, which they attribute to the growing use of the Internet to register fan claims. However, scholars have yet to measure the extent of contemporary fan activism, account for why fan discontent has been expressed through protest, or precisely specify the role of the Internet in this expansion. We argue that these questions can be addressed by drawing on a growing body of work by social movement scholars on “movement societies,” and more particularly on a nascent thread of this approach we develop that theorizes the appropriation of protest practices for causes outside the purview of traditional social movements. Theorizing that the Internet, as a new media, is positioned to accelerate the diffusion of protest practices, we develop and test hypotheses about the use of movement practices for fan activism and other nonpolitical claims online using data on claims made in quasi-random samples of online petitions, boycotts, and e-mailing or letter-writing campaigns. Results are supportive of our hypotheses, showing that diverse claims are being pursued online, including culturally-oriented and consumer-based claims that look very different from traditional social movement claims. Findings have implications for students of social movements, sociologists of culture, and Internet studies.

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