scholarly journals Analyzing Public Concern Responsesfor Formulating Ordinances and Lawsusing Sentiment Analysis through VADER Application

2022 ◽  
Vol 6 ◽  
pp. 842-856
Author(s):  
Charles Alfred Cruz ◽  
◽  
Francis Balahadia ◽  

Purpose–Thispaperaimed to develop a system that applies VADER Sentiment Analysis to tweets collected using adevelopedtwitter scraper toolto identify the insights of public responsesbased on their tweetson certain government servicesrendered to them thus providing legislators of the province of Laguna an additional tool in writing future legislations.Method–This study may serve as an additional tool tothe Sangguniang Panlalawigan of Laguna in identifying sentiments of the public in terms of government services that are rendered and lack thereof based on the collected tweets written in Tagalog, English or Taglish(Tagalog and English).Data collected through the Twitter scraper tool are preprocessed taking into consideration the special characters that also have impact on scoring sentiments, emojis,and emoticons. The compound score is computed by normalizing the sum of the polarityscores foreach tweet.Results–Aside from a tabular visualization of VADER’s results, the system also provides graphical representation of the evaluation result with the percentage of positive neutral and negative tweets. Based on the result of the testing and evaluation, the VADER model is 80.71% accurate and had an F-score of 84.33%.Conclusion–The reports generated from the system be utilized to serve as potentially additional basis for legislators of the province of Laguna in writing legislations such as resolutions and ordinances based on the sentiment or voice of the community. Recommendations–It is recommended to collaborate with linguists to develop a native language of VADER’s lexicon to improve the accuracy of the sentiment scores.

Enhnaced Dual Sentiment Analysis (EDSA) is an improved system which enhances the performance of the existing Dual Sentiment Analysis (DSA) which is implemented in literature. It mainly focuses on improving the efficiency of the existing system by making some modifications to the existing DSA approach. EDSA improves the classification accuracy of the public reviews. Apart from the classification accuracy other parameters considered in EDSA are precision, recall and fmeasure. In the first phase, a data pre-processing is performed to clean the data where subjectivity analysis is performed to obtain the subjective reviews and sentiment analysis is performed on subjective reviews only. Second phase deals with negation detection and sentiment word sreversal to obtain the reversed reviews. Third phase performs polarity calculation on the original and reversed reviews to obtain positive and negative reviews based on sentiment score of the reviews. Fourth phase performs the enhanced dual training and prediction where the positive and negative reviews are provided to various classifiers which provides the final results as the output. Final phase is the graphical representation of the various parameter values obtained from the previous phase which helps in comparing the results of the various classifiers


Author(s):  
Ramnik Kaur

E-governance is a paradigm shift over the traditional approaches in Public Administration which means rendering of government services and information to the public by using electronic means. In the past decades, service quality and responsiveness of the government towards the citizens were least important but with the approach of E-Government the government activities are now well dealt. This paper withdraws experiences from various studies from different countries and projects facing similar challenges which need to be consigned for the successful implementation of e-governance projects. Developing countries like India face poverty and illiteracy as a major obstacle in any form of development which makes it difficult for its government to provide e-services to its people conveniently and fast. It also suggests few suggestions to cope up with the challenges faced while implementing e-projects in India.


2020 ◽  
Vol 4 (2) ◽  
pp. 362-369
Author(s):  
Sharazita Dyah Anggita ◽  
Ikmah

The needs of the community for freight forwarding are now starting to increase with the marketplace. User opinion about freight forwarding services is currently carried out by the public through many things one of them is social media Twitter. By sentiment analysis, the tendency of an opinion will be able to be seen whether it has a positive or negative tendency. The methods that can be applied to sentiment analysis are the Naive Bayes Algorithm and Support Vector Machine (SVM). This research will implement the two algorithms that are optimized using the PSO algorithms in sentiment analysis. Testing will be done by setting parameters on the PSO in each classifier algorithm. The results of the research that have been done can produce an increase in the accreditation of 15.11% on the optimization of the PSO-based Naive Bayes algorithm. Improved accuracy on the PSO-based SVM algorithm worth 1.74% in the sigmoid kernel.


2017 ◽  
Vol 1 (2) ◽  
pp. 29
Author(s):  
Sri Rijati ◽  
Tania Intan ◽  
Mega Subekti

This activity aims to growth awareness and public concern over the use of household waste. One effective way is tomake the process of recycling of waste in order to be a new product that has economic value. Sayang village, Jatinangor inSumedang district became one of priority area for the organization of this event. Its geographical location which is relativelyclose to the area of education is one reason for choosing this village. The activities in the form of Program Pengabdian kepadaMasyarakat Dosen (PPMD) is carried out by means of lectures, demonstrations and practices / trainings. The high productionof household waste and negative behaviour regarding garbage is actually an issue that is closely related to cultural behaviour.Therefore, the solution is actually should be also related with the issue of people’s mindset about the garbage. Recycling wastebins in order to produce a product that has economic value to be an alternative way to change people's mindsets about thegarbage that have tended to be negative. This activity is considered successful because of the participation of the public,especially mothers of households is quite high and active in a series of events


Author(s):  
William W. Franko ◽  
Christopher Witko

Here the authors present the variation that exists in income inequality across the states, and variation in public awareness or concern about income inequality as measured by public opinion polls. Though politicians may decide to tackle income inequality even in the absence of public concern about inequality, the authors argue that government responses are more likely when and where there is a growing awareness of, and concern about, inequality, which is confirmed in the analyses in this book. To examine this question in subsequent chapters, a novel measure of public awareness of rising state inequality is developed. Using these estimates, this chapter shows that the growth in the public concern about inequality responds in part to objective increases in inequality, but also that state political conditions, particularly mass partisanship, shape perceptions of inequality.


Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 115 ◽  
Author(s):  
Yaocheng Zhang ◽  
Wei Ren ◽  
Tianqing Zhu ◽  
Ehoche Faith

The development of mobile internet has led to a massive amount of data being generated from mobile devices daily, which has become a source for analyzing human behavior and trends in public sentiment. In this paper, we build a system called MoSa (Mobile Sentiment analysis) to analyze this data. In this system, sentiment analysis is used to analyze news comments on the THAAD (Terminal High Altitude Area Defense) event from Toutiao by employing algorithms to calculate the sentiment value of the comment. This paper is based on HowNet; after the comparison of different sentiment dictionaries, we discover that the method proposed in this paper, which use a mixed sentiment dictionary, has a higher accuracy rate in its analysis of comment sentiment tendency. We then statistically analyze the relevant attributes of the comments and their sentiment values and discover that the standard deviation of the comments’ sentiment value can quickly reflect sentiment changes among the public. Besides that, we also derive some special models from the data that can reflect some specific characteristics. We find that the intrinsic characteristics of situational awareness have implicit symmetry. By using our system, people can obtain some practical results to guide interaction design in applications including mobile Internet, social networks, and blockchain based crowdsourcing.


2016 ◽  
Vol 10 (1) ◽  
pp. 87-98 ◽  
Author(s):  
Victoria Uren ◽  
Daniel Wright ◽  
James Scott ◽  
Yulan He ◽  
Hassan Saif

Purpose – This paper aims to address the following challenge: the push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organizations towards energy development projects. Design/methodology/approach – This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised and illustrated using a sample of tweets containing the term “bioenergy”. Findings – Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results. Research limitations/implications – Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector. Social implications – Social media have the potential to open access to the consultation process and help bioenergy companies to make use of waste for energy developments. Originality/value – Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.


Author(s):  
AnasGhassan Kanaan ◽  
Shahizan Bin Hassan

This paper presents a study which examines several e-government success factors in Jordan. Due to the pace of globalization and rapid global growth of technology and the Internet information, many governments around the world have turned their services from traditional services into e-government services. Were the citizens, business organizations and other stakeholders are served via the internet. Jordan is one of the rare countries in the Middle East with a history of commitment to good governance and ICT-related initiatives. In recent years, Jordan’s efforts to provide e-government services to the public have been recognized. But still Jordan faces the problem of low usage levels of these electronic services, plus several scholars addressed that several studies were conducted from citizen perspective but few for businesses perspective. For a better understanding of e-government and its influence on the society as all and on the business society in particular the researchers carried out this study to identify the success factors which affect e-government adoption in Jordan, also to investigate the factors that determine business organization satisfaction towards e-government in Jordan. In this paper the researcher will discuss four factors that affect the success of e-government services from businesses perspective in Jordan as followed: e-service quality, perceived usefulness, trust, personalization.


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