scholarly journals A Corpus-Driven Approach to Sentiment Analysis of Patient Narratives

10.29007/rs9b ◽  
2018 ◽  
Author(s):  
Keith Stuart ◽  
Ana Botella ◽  
Imma Ferri-Miralles

This paper describes the linguistic analysis of a corpus of patient narratives that was used to develop and test software to carry out sentiment analysis on the aforementioned corpus. There is a growing body of research on the relationship between sentiment analysis, social media (for example, Twitter) and health care, but less research on sentiment analysis of patient narratives (being longer and more complex texts). The motivation for this research is that patient narratives of experiences of the National Health Service (NHS) in the UK provide rich data of the treatment received.The corpus threw up some unexpected results that may be of benefit for researchers of sentiment analysis. The linguistic problems encountered have been divided into three sections: the noisy nature of large corpora; the idiomatic nature of language; the nature of language in the clinical domain. This article gives an overview of the project and describes the linguistic problems that arose out of the project, which tried to find a means to automate the analysis of patient feedback on health services.

Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.


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.


1997 ◽  
Vol 4 (3) ◽  
pp. 191-201 ◽  
Author(s):  
Ann P Young

With the introduction of general management and then of planned markets into the National Health Service (NHS), health care in the UK has gone through a massive amount of change. The effect on those working for the NHS has been ‘challenging’ and often confusing. This paper aims to clarify what is happening by taking an ideological perspective: what ideologies exist, how they are changing and the strategies being used to ensure their survival. Ideologies are basically about power. The relationship between market, managerial and professional ideologies is analysed using charters, codes of conduct and other associated documents. A tentative conclusion is reached that professional ideologies are able to adjust to the overriding market/consumerist ideology. However, the managerial ideology is having difficulty in gaining any real ground against the professional ideology and is having to move strategically by using audit, not just of finance, but also of clinical judgement, to gain power.


10.2196/18813 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e18813 ◽  
Author(s):  
Jie Ren ◽  
Viju Raghupathi ◽  
Wullianallur Raghupathi

Background Medical crowdfunding has emerged as a growing field for fundraising opportunities. Some environmental trends have driven the emergence of campaigns to raise funds for medical care. These trends include lack of medical insurance, economic backlash following the 2008 financial collapse, and shortcomings of health care regulations. Objective Research regarding crowdfunding campaign use, reasons, and effects on the provision of medical care and individual relationships in health systems is limited. This study aimed to explore the nature and dimensions of the phenomenon of medical crowdfunding using a visual analytics approach and data crawled from the GoFundMe crowdfunding platform in 2019. We aimed to explore and identify the factors that contribute to a successful campaign. Methods This data-driven study used a visual analytics approach. It focused on descriptive analytics to obtain a panoramic insight into medical projects funded through the GoFundMe crowdfunding platform. Results This study highlighted the relevance of positioning the campaign for fundraising. In terms of motivating donors, it appears that people are typically more generous in contributing to campaigns for children rather than those for adults. The results emphasized the differing dynamics that a picture posted in the campaign brings to the potential for medical crowdfunding. In terms of donor’s motivation, the results show that a picture depicting the pediatric patient by himself or herself is the most effective. In addition, a picture depicting the current medical condition of the patient as severe is more effective than one depicting relative normalcy in the condition. This study also drew attention to the optimum length of the title. Finally, an interesting trend in the trajectory of donations is that the average amount of a donation decreases with an increase in the number of donors. This indicates that the first donors tend to be the most generous. Conclusions This study examines the relationship between social media, the characteristics of a campaign, and the potential for fundraising. Its analysis of medical crowdfunding campaigns across the states offers a window into the status of the country’s health care affordability. This study shows the nurturing role that social media can play in the domain of medical crowdfunding. In addition, it discusses the drivers of a successful fundraising campaign with respect to the GoFundMe platform.


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.


2018 ◽  
Author(s):  
Thomas Davidson ◽  
Mabel Berezin

Social movement scholars have recently turned their attention to the interactions between political parties and social movements, but little is known about how social media have impacted these relationships, despite widespread adoption of these technologies. We present a case study of the relationship between Britain First, a far-right anti-Muslim social movement, and the U.K. Independence Party, the Eurosceptic political party that spearheaded the Brexit campaign. The movement appeared marginal in the press but it dominated social media, and used this presence to support to the party. We examine the dynamics of the relationship between these groups from 2013 until 2017, drawing upon data from social media, newspapers, and other online sources, and focusing both interactions on between elites and rank-and-file supporters. Our findings illustrate how far-right groups have used new technologies to generate an unprecedented amount of popular support and to attempt to influence the political mainstream.


MedienJournal ◽  
2017 ◽  
Vol 39 (2) ◽  
pp. 5-18
Author(s):  
Anna Zoellner ◽  
Stephen Lax

Digitalisation and the emergence of online media in particular have led to intense debates about its effects on what is now often called “traditional media” including broadcast media such as radio. Our paper investigates how radio stations’ expansion into online space has transformed radio production. Focusing on the relationship between station and listeners, it discusses the social media practices of radio producers and explores whether these new digital tools contribute to a shift towards a more participatory production culture. The paper draws on data from a multi-method case study investigation of local British radio stations that combined programme analysis, expert interviews and web analysis. The study highlighted a shared belief among producers in the importance and value of social media for achieving audience loyalty and engagement. Nevertheless –not least due to a lack of additional resources –their use of social media is mainly an extension of traditional journalistic and promotional tech niques. Its potential for listener involvement in the production process is not met and exchanges with the audiences remain in the digital realm without impact on the on-air listener experience.  


1993 ◽  
Vol 17 (10) ◽  
pp. 592-594 ◽  
Author(s):  
Sube Banerjee ◽  
James Lindesay ◽  
Elaine Murphy

Recent changes in the provision of health and social care in the UK such as the institution of a purchaser/provider system and regular screening of the elderly by GPs are of importance to the relationship between primary health care teams (PHCT) and psychogeriatricians. These changes have clarified the necessity for sensitivity by psychogeriatric services to the needs of GPs and commissioning authorities.


2021 ◽  
Vol 10 (6) ◽  
pp. 407
Author(s):  
Eva Hauthal ◽  
Alexander Dunkel ◽  
Dirk Burghardt

The presented study aims to investigate the relationship between the use of emojis in location-based social media and the location of the corresponding post in terms of perceived objects and conducted activities connected to this place. The basis for this is not a purely frequency-based assessment, but a specifically introduced measure called typicality. To evaluate the typicality measure and examine the assumption that emojis are contextual indicants, a dataset of worldwide geotagged posts from Instagram relating to sunset and sunrise events is used, converted to a privacy-aware version based on a Hyperloglog approach. Results suggest that emojis can often provide more nuanced information about user activities and the surrounding environment than is possible with hashtags. Thus, emojis may be suitable for identifying less obvious characteristics and the sense of a place. Emojis are already explored in research, but mainly for sentiment analysis, for semantic studies or as part of emoji prediction. In contrast, this work provides novel insights into the user’s spatial or activity context by applying the typicality measure and therefore considers emojis contextual indicants.


Sign in / Sign up

Export Citation Format

Share Document