Ontology-Driven Sentiment Analysis in Indian Healthcare Sector

Author(s):  
Abhilasha Sharma ◽  
Anmol Chandra Singh ◽  
Harsh Pandey ◽  
Milind Srivastava
2012 ◽  
Author(s):  
Xiao-Lu Wang ◽  
Julie Ma ◽  
Siu-Man Ng ◽  
Venus Wong ◽  
Eric Leung ◽  
...  

Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.


Author(s):  
Leanne SOBEL ◽  
Katrina SKELLERN ◽  
Kat PEREIRA

Design thinking and human-centred design is often discussed and utilised by teams and organisations seeking to develop more optimal, effective or innovative solutions for better customer outcomes. In the healthcare sector the opportunity presented by the practice of human-centred design and design thinking in the pursuit of better patient outcomes is a natural alignment. However, healthcare challenges often involve complex problem sets, many stakeholders, large systems and actors that resist change. High-levels of investment and risk aversion results in the status quo of traditional technology-led processes and analytical decision-making dominating product and strategy development. In this case study we present the opportunities, challenges and benefits that including a design-led approach in developing complex healthcare technology can bring. Drawing on interviews with participants and reflections from the project team, we explore and articulate the key learning from using a design-led approach. In particular we discuss how design-led practices that place patients at the heart of technology development facilitated the project team in aligning key stakeholders, unearthing critical system considerations, and identifying product and sector-wide opportunities.


2020 ◽  
Vol 5 (Special) ◽  

Dubai Health Authority (DHA) is the entity regulating the healthcare sector in the Emirate of Dubai, ensuring high quality and safe healthcare services delivery to the population. The World Health Organization (WHO) declared COVID-19 a pandemic on the 11th of March 2020, indicating to the world that further infection spread is very likely, and alerting countries that they should be ready for possible widespread community transmission. The first case of COVID-19 in the United Arab Emirates was confirmed on 29th of January 2020; since then, the number of cases has continued to grow exponentially. As of 8th of July 2020 (end of the day), 53,045 cases of coronavirus have been confirmed with a death toll of 327 cases. The UAE has conducted over 3,720,000 COVID-19 tests among UAE citizens and residents over the past four months, in line with the government’s plans to strengthen virus screening to contain the spread of COVID-19. There were vital UAE policies, laws, regulations, and decrees that have been announced for immediate implementation to limit the spread of COVID- 19, to prevent panic and to ensure the overall food, nutrition, and well-being are provided. The UAE is amongst the World’s Top 10 for COVID-19 Treatment Efficiency and in the World’s Top 20 for the implementation of COVID-19 Safety measures. The UAE’s mission is to work towards resuming life after COVID-19 and enter into the recovery phases. This policy research paper will discuss the Dubai Health Authority’s rapid response initiatives towards combating the control and spread of COVID-19 and future policy implications and recommendations. The underlying factors and policy options will be discussed in terms of governance, finance, and delivery.


Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.


2012 ◽  
Vol 3 (6) ◽  
pp. 123-124
Author(s):  
S. PONMALAR S. PONMALAR ◽  
◽  
Dr. R.PUNITHA Dr. R.PUNITHA
Keyword(s):  

Author(s):  
Vasiliki Amarantou ◽  
Stella Kazakopoulou ◽  
Prodromos D. Charzoglou ◽  
Dimitrios Chatzoudes

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