19 papers · ranked by Valyu relevance
A. Vishal, Shriram S. Sonawane
With the advancement of web technology and its growth, there is a huge volume of data present in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging ideas and sharing opinions. Social networking sites like Twitter, Facebook, Google+ are rapidly…
Kristína Machová, Martina Szabóova, Ján Paralič, Ján Mičko
Emotions are an integral part of human life. We know many different definitions of emotions. They are most often defined as a complex pattern of reactions, and they could be confused with feelings or moods. They are the way in which individuals cope with matters or situations that they find personally significant.…
Minji Kim, Subeen Kim, Yoonha Park, Sangwoo Bahn + 3 more
'Bhavadharani NambiNarayanan' 'Minseong Kim'] Designing securities applications for mobile devices is challenging due to their inherent complexity, necessitating improvement through the analysis of online reviews. However, research applying deep learning techniques to the sentiment analysis of Korean text remains…
Saif M. Mohammad
Recent advances in machine learning have led to computer systems that are humanlike in behaviour. Sentiment analysis, the automatic determination of emotions in text, is allowing us to capitalize on substantial previously unattainable opportunities in commerce, public health, government policy, social sciences, and…
Subhabrata Mukherjee, Pushpak Bhattacharyya
Our day-to-day life has always been influenced by what people think. Ideas and opinions of others have always affected our own opinions. The explosion of Web 2.0 has led to increased activity in Podcasting, Blogging, Tagging, Contributing to RSS, Social Bookmarking, and Social Networking. As a result there has been an…
Heru Susanto, Aida Sari Omar, Alifya Kayla Shafa Susanto, Desi Setiana + 7 more
Small and Medium-sized Enterprises (SMEs) increasingly rely on social media to engage customers, promote products, and enhance workplace collaboration. Customer opinions expressed through comments and posts on platforms such as Facebook and Instagram represent valuable insights, yet their informal and context-specific…
Mahander Kumar, Lal Khan, Hsien-Tsung Chang, Bilal Alatas
With the rapid expansion of social media and e-commerce platforms, an unprecedented volume of user-generated content has emerged, offering organizations, governments, and researchers invaluable insights into public sentiment. Yet, the vast and unstructured nature of this data challenges traditional analysis methods.…
Javier Fernández-Cruz, Antonio Moreno-Ortiz, Michael Flor
The present study focuses on the fluctuation of sentiment in economic terminology to observe semantic changes in restricted diachrony. Our study examines the evolution of the target term ‘inflation’ in the business section of quality news and the impact of the Great Recession. This is carried out through the…
John Torous, Lu He, Ross Gore, Juan Antonio Lossio-Ventura + 7 more
Background Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social media, and their performance in the health care context remains…
K Paramesha, K C Ravishankar
Sentiment Analysis (SA) is indeed a fascinating area of research which has stolen the attention of researchers as it has many facets and more importantly it promises economic stakes in the corporate and governance sector. SA has been stemmed out of text analytics and established itself as a separate identity and a…
Chetan Kaushik, Atul Mishra
Rapid increase in the volume of sentiment rich social media on the web has resulted in an increased interest among researchers regarding Sentimental Analysis and opinion mining. However, with so much social media available on the web, sentiment analysis is now considered as a big data task. Hence the conventional…
Stefan Munnes, Corinna Harsch, Marcel Knobloch, Johannes S. Vogel + 2 more
Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the “gold standard” of human-coded sentiments. Literature reviews constitute a challenging text corpus…
Alexandre Denis, Samuel Cruz‐Lara, Nadia Bellalem
Textual sentiment analysis and emotion detection consists in retrieving the sentiment or emotion carried by a text or document. This task can be useful in many domains: opinion mining, prediction, feedbacks, etc. However, building a general purpose tool for doing sentiment analysis and emotion detection raises a number…
Maurizio Naldi
The languages of choice for sentiment analysis appear to be Python and R. In particular some books have been devoted to the use of R for these applications [13] [14]. However, several packages are available that provide built-in functions for sentiment computation in the R framework. Those functions allow data analysts…
Hamed Jelodar, Yongli Wang, Rita Orji, Hucheng Huang
Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each other. In late December 2019, an outbreak of a novel coronavirus (infection from which results in the disease named…
Gary E. Weissman, Lyle H. Ungar, Michael O. Harhay, Katherine R. Courtright + 1 more
Sentiment analysis may offer insights into patient outcomes through the subjective expressions made by clinicians in the text of encounter notes. We analyzed the predictive, concurrent, convergent, and content validity of five sentiment methods in a sample of 791,216 multidisciplinary clinical notes among 40,602…
Martin Müller, Manuel Schneider, Marcel Salathé, Effy Vayena
The discovery of the CRISPR-Cas9-based gene editing method has opened un-precedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the speed of technology development, and the almost instantaneous global spread of…
Justin Schonfeld, Edward Qian, Jason Sinn, Jeffery Cheng + 2 more
Vaccines and climate change have much in common. In both cases, a scientific consensus contrasts with a divided public opinion. They also exemplify coupled human-environment systems involving common pool resources. Here we used machine learning algorithms to analyze the sentiment of 87 million tweets on climate change…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…