Vectorizer Comparison for Sentiment Analysis on Social Media Youtube: A Case Study

Author(s):  
Irene Irawaty ◽  
Rachmadita Andreswari ◽  
Dita Pramesti
2021 ◽  
Vol 13 (7) ◽  
pp. 3836
Author(s):  
David Flores-Ruiz ◽  
Adolfo Elizondo-Salto ◽  
María de la O. Barroso-González

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.


2021 ◽  
Vol 17 (3) ◽  
pp. 265-274
Author(s):  
Mohammad Ashraf Ottom ◽  
Khalid M.O. Nahar

Pressacademia ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 246-254
Author(s):  
Abdullah Onden ◽  
Meltem Kiygi-Calli ◽  
Elif Yolbulan-Okan

2021 ◽  
Vol 33 (1) ◽  
pp. 189-192
Author(s):  
Shiv Shankar Sharma ◽  
Daljeet Kaur ◽  
Taranjeet Kaur Chawla ◽  
Vaishali Kapoor

Background: During the time of COVID 19, public health care institutions have used social media to inform and aware society. Aim & Objective: To analyze how Public Health Care Institutes conveyed the health information and messages through social media platform- Twitter during COVID 19, and analyzing its impact through sentiment analysis of comments. Material & Methods: The Thematic and sentiment analysis method has been used to analyze the data of the Twitter handle of AIIMS, Raipur in two phases; January-March 2020, and April-June 2020.  Results: The analysis shows that the sharing of COVID-19 updates on AIIMS, Raipur Twitter handle increased the followers 15 times from 2,000+ in March 2020 to 30,000+ in June 2020, and the sentiment analysis reflects that COVID related updates received 96.7 % positive comments. Conclusion: The case study finds that transparent and informative message sharing through social media by public health care institutions can create an effective channel of communication. This results in a positive institutional image.


BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e041818
Author(s):  
Anita Kothari ◽  
Lyndsay Foisey ◽  
Lorie Donelle ◽  
Michael Bauer

IntroductionKeeping Canadians safe requires a robust public health (PH) system. This is especially true when there is a PH emergency, like the COVID-19 pandemic. Social media, like Twitter and Facebook, is an important information channel because most people use the internet for their health information. The PH sector can use social media during emergency events for (1) PH messaging, (2) monitoring misinformation, and (3) responding to questions and concerns raised by the public. In this study, we ask: what is the Canadian PH risk communication response to the COVID-19 pandemic in the context of social media?Methods and analysisWe will conduct a case study using content and sentiment analysis to examine how provinces and provincial PH leaders, and the Public Health Agency of Canada and national public heath leaders, engage with the public using social media during the first wave of the pandemic (1 January–3 September 2020). We will focus specifically on Twitter and Facebook. We will compare findings to a gold standard during the emergency with respect to message content.Ethics and disseminationWestern University’s research ethics boards confirmed that this study does not require research ethics board review as we are using social media data in the public domain. Using our study findings, we will work with PH stakeholders to collaboratively develop Canadian social media emergency response guideline recommendations for PH and other health system organisations. Findings will also be disseminated through peer-reviewed journal articles and conference presentations.


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