Search Results for author:
Found 21 papers, 5 papers with code
Fuzzy Approach Topic Discovery in Health and Medical Corpora
The majority of medical documents and electronic health records (EHRs) are in text format that poses a challenge for data processing and finding relevant documents.
Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter
The goal of this research is to analyze the characteristics of the general public's opinions in regard to diabetes, diet, exercise and obesity (DDEO) as expressed on Twitter.
Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise
This study proposes a new framework to analyze unstructured health related textual data via Twitter users' post (tweets) to characterize the negative health sentiments and non-health related concerns in relations to the corpus of negative sentiments, regarding Diet Diabetes Exercise, and Obesity (DDEO).
Taming Wild High Dimensional Text Data with a Fuzzy Lash
This research investigates the application of fuzzy clustering as a DR method based on the UFT strategy to collapse BOW matrix to provide a lower-dimensional representation of documents instead of the words in a corpus.
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election
This paper proposes a computational public opinion mining approach to explore the discussion of economic issues in social media during an election.
Characterizing Diseases and disorders in Gay Users' tweets
A lack of information exists about the health issues of lesbian, gay, bisexual, transgender, and queer (LGBTQ) people who are often excluded from national demographic assessments, health studies, and clinical trials.
Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study
Social networking sites such as Twitter have provided a great opportunity for organizations such as public libraries to disseminate information for public relations purposes.
Computational Analysis of Insurance Complaints: GEICO Case Study
The online environment has provided a great opportunity for insurance policyholders to share their complaints with respect to different services.
What do the US West Coast Public Libraries Post on Twitter?
There are thousands of public libraries in the US, but no study has yet investigated the content of their social media posts like tweets to find their interests.
Characterizing Transgender Health Issues in Twitter
Also, our proposed approach can inform the development of computational strategies to identify the health-related information needs of other marginalized populations.
An Exploratory Study of (#)Exercise in the Twittersphere
Social media analytics allows us to extract, analyze, and establish semantic from user-generated contents in social media platforms.
Political Popularity Analysis in Social Media
This study has collected and examined 4. 5 million tweets related to a US politician, Senator Bernie Sanders.
Twitter Speaks: A Case of National Disaster Situational Awareness
This research emphasizes the value of social media analysis and proposes an analytical framework: Twitter Situational Awareness (TwiSA).
Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining
Results: The text mining methods explored high-frequency neurologic DsSs and their trends and the relationships between them from 1955 to 2017.
Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment
The Sex Discrimination and Gender harassment theme included stories about sex discrimination and gender harassment, such as sexist hostility behaviors ranging from insults and jokes invoking misogynistic stereotypes to bullying behavior.
Application of Fuzzy Clustering for Text Data Dimensionality Reduction
Of the four strategies, unsupervised feature transformation (UFT) is a popular and efficient strategy to map the terms to a new basis in the document-term frequency matrix.
FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents
One of the challenges for text analysis in medical domains is analyzing large-scale medical documents.
Unwanted Advances in Higher Education: Uncovering Sexual Harassment Experiences in Academia with Text Mining
We mapped the topics on five themes drawn from the sexual harassment literature and found that more than 50% of the topics were assigned to the unwanted sexual attention theme.
COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter
Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021.
2020 U.S. presidential election in swing states: Gender differences in Twitter conversations
Social media is commonly used by the public during election campaigns to express their opinions regarding different issues.
