Comprehensive Examination of Novel Altmetrics Data in Relation to Citation Based Impact: A Case Study in the Field of Information Sciences

2021 ◽  
Author(s):  
S M Nazmuz Sakib
Keyword(s):  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Citation Count ◽  
Research Work ◽  
Quality Research ◽  
Scholarly Impact ◽  
Long Time ◽  
Traditional Indicator

For a long time, the scholarly impact of a researcher has been evaluated by its citation and publication count. As social media becomes a vital part of our lives, scholars use “Altmetrics” platforms to promote their publications through the use of different social networking sites like Twitter, Facebook, CUL (Cite You Like), Mendeley, etc. Twitter is one of the popular and rapidly growing microblogging platforms that is also used in the context of “Altmetrics” as a strong alternative scale to identify quality research work. This research test whether Twitter indicators are helpful to identify quality research work. Our research is based upon a small dataset of 6613 tweets in the field of natural sciences. We compared Twitter indicators (“favorite count and retweet count”) vs. traditional indicator (“citation count”). We also analyzed Twitter text (comments) based on sentiment analysis by using different algorithms. Our research came up with the outcome that neither the favorite count, retweet count, nor the comments were the strong indicators to identify quality research work. These results would help the researchers to understand the role of Twitter indicators to capture quality research work online. Keywords: Altmetrics, Twitter Indicators, Sentiment Analysis, Microblogging

scholarly journals Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

2021 ◽  
Vol 13 (7) ◽  
pp. 3836
Author(s):  
David Flores-Ruiz ◽  
Adolfo Elizondo-Salto ◽  
María de la O. Barroso-González
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Cost Savings ◽  
Mass Scale ◽  
Tourism Sector ◽  
The Social ◽  
Analytical Tools ◽  
Media Data

This paper explores the role of social media in tourist sentiment analysis. To do this, it describes previous studies that have carried out tourist sentiment analysis using social media data, before analyzing changes in tourists’ sentiments and behaviors during the COVID-19 pandemic. In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism Situation Survey (ECTA). This information is then compared with data obtained from a sentiment analysis based on the social network Twitter. On the basis of this comparative analysis, the paper concludes that it is possible to identify and classify tourists’ perceptions using sentiment analysis on a mass scale with the help of statistical software (RStudio and Knime). The sentiment analysis using Twitter data correlates with and is supplemented by information from the ECTA survey, with both analyses showing that tourists placed greater value on safety and preferred to travel individually to nearby, less crowded destinations since the pandemic began. Of the two analytical tools, sentiment analysis can be carried out on social media on a continuous basis and offers cost savings.

scholarly journals ROLE OF AN ETHNOMEDICINE- MUSTADI MODAKA IN THE MANAGEMENT OF 2ND DEGREE HAEMORRHOIDS (ARSHAS) – A CASE REPORT

2021 ◽  
Vol 9 (10) ◽  
pp. 2633-2636
Author(s):  
Sreelakshmi S ◽  
C. Raghunathan Nair ◽  
Remya. V. R
Keyword(s):  
Anorectal Disease ◽  
Basic Principles ◽  
Spicy Food ◽  
Long Time ◽  
Excessive Intake ◽  
Lack Of Exercise ◽  
Lifestyle Disease ◽  
Two Wheeler

In the present era of 21st century, haemorrhoids have become the most common and distressing anorectal disease. It is a lifestyle disease due to excessive intake of spicy food non-vegetarian food, and lack of exercise. Inadequate consumption of water and the habit of taking alcohol are some of the main reasons for the manifestation of the disease. Perianal trauma due to the long journey and excessive two-wheeler riding particularly on uneven roads and terrenes are also main reasons. Constipation is also a common cause of this disease. Haemorrhoids are dealt with rationally under the concept of Arshas. Use of medicine, surgery, cauterization with kshara and Agni are the treatment principles recommended for Arshas by Acharya Susruta. Except medicine, the rest of the procedures are invasive. The basic principles for the treatment of Arshas are deepana and anulomana (digestive, carminative, and laxative). A medicine with the above properties which is used traditionally by tribes is selected for the study. It has been found using among the tribes for a long time with no side effects. The contents of this medicine are safe and are used in routine ayurvedic practice. In this case study, an effort was made to evaluate the role of Mustadimodaka and ethnomedicine in the management of Arshas. Keywords: 2nd-degree haemorrhoids, Arshas, Mustadimodaka, Ethnomedicine

scholarly journals KERAGAAN AGROINDUSTRI DAN POSISI PRODUK BERDASARKAN SIKLUS HIDUP PRODUK PADA SOSIS GULUNG VARIAN NOODLE DI CV CUCURUTUKU CERIA

2021 ◽  
Vol 9 (4) ◽  
pp. 561
Author(s):  
Meliani Indah Sari ◽  
Dyah Aring Hepiana Lestari ◽  
Wuryaningsih Dwi Sayekti
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Production Costs ◽  
Selling Price ◽  
Long Time ◽  
The Government ◽  
The Cost

This study aims to analyze the process production of sausage noodle roll, the income and production costs, the marketing action and determine the position based on the life cycle of sausage noodle roll as well learn the role of supporting service for sausage noodle roll in CV Cucurutuku Ceria. This research method is a case study. The determination of consumer samples is taken by Convenience Sampling. Analysis of the data used in this research is descriptive qualitative and quantitative analysis. The data of this study was collected in May 2019 until June 2019. The results showed that the value R/C>1, that means sausage noodle roll business was profitable. Calculation of the cost of production on sausage rolls noodles amounted to Rp1,046.53. The BEP unit calculation has been achieved for a long time, in the amount of 42,791 units from the BEP calculation of 604 units. The noodle rolls sausage has also obtained a profit from the selling price of Rp ,000.00 per pcs from the calculation of the BEP price of Rp1,238.58 per pcs. The marketing mix that has been utilized by CV Cucurutuku Ceria is collaboration with e-commerce companies namely gofood and grabfood to facilitate consumers in the ordering process and CV Cucurutuku Ceria has utilized social media as promotional activities for sausage noodle roll product. In the product life cycle, sausage noodle roll are in a stage of decline. CV Cucurutuku Ceria has not fully utilized the government policies regarding the protection and empowerment of Micro, Small and Medium Enterprises.Keywords: cost, noodle, position, and sausage

scholarly journals A Inspection on Sentiment Research of Big Data: Techniques, Open Challenges

2019 ◽  
Vol 8 (6S4) ◽  
pp. 362-365
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Opinion Mining ◽  
Service Industry ◽  
Research Work ◽  
Educational Institutions ◽  
Business Organizations ◽  
The Public ◽  
Day By Day

Due to the invention of Web 2.0, the users have become more interest to share their content day by day. The emergence of various social networking sites has added to a greater extent to these activities. These provide a very good platform for the users to share the opinions of the persons across the globe. The opinions shared by the customers on the web can have the prevalent over the service industry. Many industries such as educational institutions, researchers, business organizations are concentrating opinion mining which is also called as sentiment analysis (SA) to retrieve the views and opinions posted by the public. This paper made a survey on Sentiment Analysis (SA) which aims to discusses technical aspects of SA (techniques, types) .This paper further highlights the main challenges faced by SA. These challenges present a lot of scope for research work in the future

scholarly journals The Role of Social Media in Entrepreneurship: a Conceptual Case Study

2020 ◽  
Vol 16 (2) ◽  
Author(s):  
Iwona Lupa-Wójcik
Keyword(s):  
Social Media ◽  
Consumer Behaviour ◽  
Secondary Data ◽  
Demand And Supply ◽  
Use Of Resources ◽  
Depth Analysis ◽  
Long Time ◽  
The Impact

The growing importance of social media in entrepreneurship has been observed for a long time already. Their impact is multidimensional and applies to all sectors: private, public and non-governmental. This article focuses on selected entrepreneurship aspects, and it aims to determine the role of social media in entrepreneurship based on selected issues with particular reference to the functioning of enterprises and influencing consumer behaviour. The author has considered the impact of social media on businesses and consumer behaviour. It was determined how social media enable enterprises to interact with consumers and affect demand and supply, including the phenomenon of prosumption. Thus, it can be assumed that social media influence economic equilibrium. Besides, social media allow the optimisation of operating costs and enable more efficient use of resources. They also have a real impact on consumer decisions. As a research method, an in-depth analysis of secondary data available in the literature was used. The article includes theoretical discussion supported by the research of other writers in the literature relating to the issue analysed. The analysis has shown the significant role of social media in the business entrepreneurship economy.

The case of #arseniclife: Blogs and Twitter in informal peer review

2016 ◽  
Vol 26 (8) ◽  
pp. 937-952 ◽  
Author(s):  
Sara K. Yeo ◽  
Xuan Liang ◽  
Dominique Brossard ◽  
Kathleen M. Rose ◽  
Kaine Korzekwa ◽  
...  
Keyword(s):  
New Media ◽  
Sentiment Analysis ◽  
Peer Review ◽  
Genetic Material ◽  
Online Media ◽  
Scientific Article ◽  
Issue Salience

Using the “#arseniclife” controversy as a case study, we examine the roles of blogs and Twitter in post-publication review. The controversy was initiated by a scientific article about bacteria able to substitute arsenic for phosphorus in its genetic material. We present the debate chronologically, using prominent online media to reconstruct the events. Using tweets that discussed the controversy, we conducted quantitative sentiment analysis to examine skeptical and non-skeptical tones on Twitter. Critiques of and studies refuting the arsenic life hypothesis were publicized on blogs before formal publication in traditional academic spaces and were shared on Twitter, influencing issue salience among a range of audiences. This case exemplifies the role of new media in informal post-publication peer review, which can complement traditional peer review processes. The implications drawn from this case study for future conduct and transparency of both formal and informal peer review are discussed.

Music and Institutional Advertising

2021 ◽  
pp. 351-370
Author(s):  
Rika Asai
Keyword(s):  
United States ◽  
New York ◽  
Public Perception ◽  
The United States ◽  
Electric Utility ◽  
Advertising Agencies ◽  
Advertising Agency ◽  
Long Time

This chapter explores music and advertising in the United States during the golden age of radio using the 1946–1947 season of Echoes of New York as a case study. As a radio-variety program sponsored by New York electric utility Consolidated Edison, Echoes is an example of institutional advertising, a form of advertising designed to shape public perception of the company, rather than to sell specific products. The company entrusted the important task to its long-time advertising agency, McCann-Erickson. Drawing on scripts, scores, memos, and financial documentation, this chapter considers broadcast entertainment’s creation and perpetuation of formulaic construction in program format as well as the gradual streamlining of McCann-Erickson’s musical activities in a typical work week. The chapter highlights the role of Con Edison’s all-male company chorus, the Edisoneers, as a physical and aural representation of the message Echoes sought to impart. In focusing on the work of producing music for institutional advertising, this chapter contributes to studies that have illuminated the foundational position of advertising agencies in driving the form and content of programming during the radio era.

scholarly journals Parenting style in building learning motivation in children: A case study in migrant workers’ families in Indonesia

2021 ◽  
Vol 1 (3) ◽  
pp. 102-109
Author(s):  
Ulvi Oktaliana ◽  
Maria Veronika Roesminingsih ◽  
Suhanadji Suhanadji
Keyword(s):  
Migrant Workers ◽  
Descriptive Analysis ◽  
Learning Motivation ◽  
Student Opinions ◽  
Parental Love ◽  
Direct Observations ◽  
Data Collection Instrument ◽  
Long Time

This study aims to describe the role of parenting to students whose parents work as immigrants with substance in the form of student opinions, as well as to describe the learning motivation of students whose parents work as migrant workers with several approaches related to learning motivation. The study used a qualitative approach that took data based on the results of interviews and direct observations as a data collection instrument and then carried out descriptive analysis. The sample of this study was conducted on students at MI Al-Khoiriyah and SDN Langenharjo 2 schools whose parents worked as immigrants. The results showed that students realized that with the parenting pattern of parents who worked as immigrants this situation was only temporary, their parents worked for money to be able to meet their needs at home and students' educational needs. However, in general, students feel sad when their parents are away from them for a long time so that students experience a lack of direct parental love. Therefore, in general, students whose parents work as immigrants do not show good or high learning motivation. This can be seen from the incompleteness of eight indicators of student learning motivation at school. Suggestions for further research in the future are also discussed.

scholarly journals Predicting Election Results using NLTK

2019 ◽  
Vol 9 (1) ◽  
pp. 4519-4529
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Text Processing ◽  
Research Work ◽  
Supervised Machine Learning ◽  
Analysis Tool ◽  
Machine Learning Classification

In today’s world, people are usually using social media networks for trying to communicate with other users and for sharing information across the world. The online social networking sites have become considerable tools and are providing a common medium for a number of users to communicate with each other. Twitter is the most prominent microblogging website and one among the social networking sites that grow on a daily basis. Social media incorporates an extensive amount of data in the form of tweets, forums, status updates, comments, etc. in an attempt to automatically process and analyze these data, applications can rely on analysis approaches such as sentiment analysis. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments. Natural Language Toolkit (NLTK) is a library based on machine learning methods in python & sentiment analysis tool. Which provides the base for text processing and classification? The research work proposed a machine learning-based classifier to extract the tweets on elections and analyze the opinion of the tweeples (people who use twitter). The tweets can be categorized as positive, negative and neutral towards a particular politician. We classify these processed tweets using a supervised machine learning classification approach. The classifier used to classify the tweets as positive, negative or neutral is Naive Bayes Classifier. The classifier is trained with tweets bearing a distinctive polarity. The percentage of positive and negative tweets is then measured and graphically represented.

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