Public Opinion Knowledge (POK) platform based on apache hadoop: To get public opinion from French content published on the Web/CSM

2016 ◽  
Author(s):  
Abdelkader Rhouati ◽  
El Hassane Ettifouri ◽  
Mohammed Ghaouth Belkasmi ◽  
Toumi Bouchentouf
Keyword(s):  
Public Opinion ◽  
Apache Hadoop ◽  
The Web

Public Opinion on the Web: The Arab Listeners of the BBC

2013 ◽  
Author(s):  
Haidar Moukdad
Keyword(s):  
Public Opinion ◽  
Free Speech ◽  
Discussion Forum ◽  
The Web

Sample contributions by Arab contributors to a discussion forum were analyzed to study the role of the Web in promoting free speech and demystifying long held views of Arab public opinion. The findings of the study highlight the importance of the role played by the Web in promoting free speech among traditionally repressed populations, and provide insights that will help in correcting misconceptions about Arab public opinion.Un échantillonnage d’interventions par des participants arabes à un forum de discussion a été analysé afin d’étudier le rôle du Web dans le développement de la liberté de parole et la démystification des préjugés concernant l’opinion publique arabe. Les résultats de l’étude mettent en lumière l’importance du rôle joué par le Web dans le développement de la liberté de parole parmi les populations traditionnellement réprimées et offrent des idées qui aideront à corriger les idées préconçues concernant l’opinion publique arabe. 

scholarly journals Analysis of Public Opinion in Colleges and Universities Based on Wireless Web Crawler Technology in the Context of Artificial Intelligence

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
WenNing Wu ◽  
ZhengHong Deng
Keyword(s):  
Artificial Intelligence ◽  
Public Opinion ◽  
Colleges And Universities ◽  
Web Crawler ◽  
The Public ◽  
User Influence ◽  
Proposed Model ◽  
Wide Range ◽  
Different Dimensions ◽  
The Web

Wi-Fi-enabled information terminals have become enormously faster and more powerful because of this technology’s rapid advancement. As a result of this, the field of artificial intelligence (AI) was born. Artificial intelligence (AI) has been used in a wide range of societal contexts. It has had a significant impact on the realm of education. Using big data to support multistage views of every subject of opinion helps to recognize the unique characteristics of each aspect and improves social network governance’s suitability. As public opinion in colleges and universities becomes an increasingly important vehicle for expressing public opinion, this paper aims to explore the concepts of public opinion based on the web crawler and CNN (Convolutional Neural Network) model. Web crawler methodology is utilised to gather the data given by students of college and universities and mention them in different dimensions. This CNN has robust data analysis capability; this proposed model uses the CNN to analyse the public opinion. Preprocessing of data is done using the oversampling method to maximize the effect of classification. Through the association of descriptions, comprehensive utilization of image information like user influence, stances of comments, topics, time of comments, etc., to suggest guidance phenomenon for various schemes, helps to enhance the effectiveness and targeted social governance of networks. The overall experimentation was carried out in python here in which the suggested methodology was predicting the positive and negative opinion of the students over the web crawler technology with a low rate of error when compared to other existing methodology.

I sondaggi statistici: spigolature sulla qualitŕ delle indagini

2009 ◽  
pp. 29-49
Author(s):  
Claudio Quintano ◽  
Rosalia Castellano
Keyword(s):  
Public Opinion ◽  
Key Words ◽  
Web Site ◽  
General Rule ◽  
The Other ◽  
Quality Culture ◽  
Quality Dimensions ◽  
Council Of Ministers ◽  
Opinion Polls ◽  
The Web

Recently, as in the other sciences, also in Statistics quality is calling more attention. In this article the Authors consider the methodological peculiarities of electoral polls carried out in Italy in the last eight years and published on the web site of Department for Information and Publishing of Presidency of the Council of Ministers, according to the Authority Regulation. Particularly, they analyze the electoral polls considering how they respect the major quality dimensions and propose to this aim a study conducted on the basis of analysis scenarios. The results show that, even many gaps in terms of quality respect and information completeness persist again, quality culture is becoming a general rule for many opinion polls companies, encouraging in public opinion a greater knowledge of its importance.Key words: Quality; Completeness; Polls.Parole chiave: Qualitŕ; Completezza; Sondaggi.

scholarly journals Assessing Epidemic Diseases and Public Opinion through Popular Search Behavior Using Non-English Language Google Trends (Preprint)

2018 ◽  
Author(s):  
Yu-Wei Chang ◽  
Wei-Lun Chiang ◽  
Wen-Hung Wang ◽  
Chun-Yu Lin ◽  
Ling-Chien Hung ◽  
...  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Surveillance System ◽  
English Language ◽  
Google Trends ◽  
Excellent Correlation ◽  
Epidemic Disease ◽  
Web Social ◽  
Epidemic Diseases ◽  
The Web

BACKGROUND Web social media has identified to utilize as an epidemic outbreaks surveillance tool. However, the correlation between non-English language queries search data and epidemic diseases remains unclear. OBJECTIVE This study aimed to confirm the suitable non-English language keywords research relative intensities that were sensitive and specific to estimate the level of epidemic disease and the public opinion in non-English language country. Moreover, our approach indicated that a surveillance system based on Internet activity can be served an essential tool for detecting emerging diseases with distinct symptoms (e.g. zika virus fever in Brazil, 2015), and estimating the local epidemic diseases (e.g. enterovirus infectious disease in Taiwan, 2012). Otherwise, we further evaluated whether the social media reflected social uneasiness and fear during epidemic outbreaks and natural catastrophes. Our specific aim is to develop a suitable surveillance system for monitoring epidemic outbreak and observing related public opinion in the non-English language countries. METHODS The present study was based on freely available weekly epidemic incidence data from Taiwan Center for Disease Control, and the web search query data obtained from Google Trends between October 4, 2015, and April 2, 2016. To validate whether the non-English query keywords were the excellent surveillance tools, we estimated the correlation between the web query data and epidemic incidence in Taiwan. RESULTS Based on our approach, the total of 8 influenza-related queries was introduced to the analysis. The keywords, “感冒(common cold), 發燒(fever), and 咳嗽(cough)”, revealed good to excellent correlation between the Google Trends query data and influenza incidence (r= 0.89, P< 0.001; r= 0.77, p< 0.001; r= 0.79, p< 0.001, respectively). Moreover, those also displayed a high correlation with the influenza-like illness emergency and outpatient visits. We further found the query ”腸病毒 (enteroviruses)” in Google Trends, which showed excellent correlation with enterovirus infected patients in the emergency department (r= 0.91, p< 0.001). CONCLUSIONS This result suggested that Google Trends can serve as a good surveillance tool for epidemic outbreaks even in non-English language countries. Due to online search activity indicated people’s concerns for epidemic diseases even when they do not visit hospitals, it prompted us to develop the effectiveness of epidemic monitoring in web social media, which reflected the infectious trend more timeliness than traditional reporting system. In addition, the web queries data in suitable non-English search terms can provide more advantage information for medical education, healthcare, and disease prevention.

scholarly journals Public Opinion and the Internet

2009 ◽  
pp. 1194-1199
Author(s):  
Peter Murphy
Keyword(s):  
Public Opinion ◽  
Free Speech ◽  
Document Delivery ◽  
Networked Computing ◽  
The Public Sphere ◽  
Laws And Policies ◽  
Long Term Impact ◽  
The 19Th Century ◽  
The Web

The development of the “World Wide Web” has had a significant impact on the formation of public opinion in democratic societies. This impact, though, has not been exactly that predicted by early 1990’s prophets of the Web, who expected a decentralization of traditional mass media. If anything, the easy accessibility of the Web-enabled Internet (hereafter, “the Net”) has extended the audience reach of traditional network media. Despite this, the Net is fundamentally changing the nature of public opinion. One should be wary of thinking of this change as a technology-enabled extension of the 19th-century liberal public. In the liberal view, the Net is a difficult- to-control free speech medium. It engenders a babble of voices devoted to persuading citizens and governments of the merits and otherwise of laws and policies. Because the Web’s infrastructure of servers is global, dictatorial, or even legal, control of it is difficult to achieve. This is especially true for governments that want to encourage the pragmatic benefits of computermediated commerce. Yet, to see the Net simply as a free-speech medium does not do full justice to its nature. It began life as a powerful document delivery system, and, in important ways, its long-term impact on public opinion derives from that fact. The Web leveraged existing inter-networked computing to enable a new way of creating, collecting, storing, transforming, and disseminating documents and information objects. The frothy activity of instant commentary and interest group campaigning that the Net facilitates disguises the extent to which the logic of the public sphere is undergoing a long-term paradigmatic shift shaped by its origins as a document archive.

scholarly journals Public Opinion and the Internet

2011 ◽  
pp. 863-868
Author(s):  
Peter Murphy
Keyword(s):  
Public Opinion ◽  
World Wide Web ◽  
Mass Media ◽  
World Wide ◽  
The Internet ◽  
Network Media ◽  
The World ◽  
Democratic Societies ◽  
The Web

The development of the “World Wide Web” has had a significant impact on the formation of public opinion in democratic societies. This impact, though, has not been exactly that predicted by early 1990s prophets of the Web, who expected a decentralization of traditional mass media. If anything, the easy accessibility of the Web-enabled Internet (hereafter “the Net”) has extended the audience reach of traditional network media. Despite this, the Net is fundamentally changing the nature of public opinion.

Using the Web Server Logs to Study Public Opinion

2013 ◽  
Author(s):  
Yijun Gao
Keyword(s):  
United States ◽  
Public Opinion ◽  
Nous Avons ◽  
Web Server ◽  
The United States ◽  
Good Source ◽  
Log Data ◽  
The Public ◽  
Web Server Logs ◽  
The Web

With the help of webometrics techniques, we could explore whether or not the Web surfer’s online interest reflects the public opinion off-line. This paper investigates the Chinese Web user’s interest regarding the United States and Japan, and demonstrates that Web server log data could be a good source for us to gauge the public opinion on specific domestic and international issues.À l'aide de techniques webométriques, nous avons pu déterminer si les intérêts des internautes reflétaient l'opinion publique hors ligne. Cette communication porte sur les intérêts des internautes chinois pour les États-Unis et le Japon et démontre que les données des journaux de serveurs web peuvent être utiles pour prendre le pouls de l'opinion publique sur certains enjeux nationaux et internationaux.

scholarly journals A Comprehensive Study on Lexicon Based Approaches for Sentiment Analysis

2019 ◽  
Vol 8 (S2) ◽  
pp. 1-6
Author(s):  
Venkateswarlu Bonta ◽  
Nandhini Kumaresh ◽  
N. Janardhan
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Sentiment Analysis ◽  
Human Activities ◽  
Analysis Tool ◽  
Political Systems ◽  
Cornell University ◽  
Polarity Score ◽  
The Web ◽  
Comprehensive Study

In recent years, it is seen that the opinion-based postings in social media are helping to reshape business and public sentiments, and emotions have an impact on our social and political systems. Opinions are central to mostly all human activities as they are the key influencers of our behaviour. Whenever we need to make a decision, we generally want to know others opinion. Every organization and business always wants to find customer or public opinion about their products and services. Thus, it is necessary to grab and study the opinions on the Web. However, finding and monitoring sites on the web and distilling the reviews remains a big task because each site typically contains a huge volume of opinion text and the average human reader will have difficulty in identifying the polarity of each review and summarizing the opinions in them. Hence, it needs the automated sentiment analysis to find the polarity score and classify the reviews as positive or negative. This article uses NLTK, Text blob and VADER Sentiment analysis tool to classify the movie reviews which are downloaded from the website www.rottentomatoes.com that is provided by the Cornell University, and makes a comparison on these tools to find the efficient one for sentiment classification. The experimental results of this work confirm that VADER outperforms the Text blob.

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