no code implementations • 21 Aug 2021 • Amir Karami, Spring B. Clark, Anderson Mackenzie, Dorathea Lee, Michael Zhu, Hannah R. Boyajieff, Bailey Goldschmidt
Social media is commonly used by the public during election campaigns to express their opinions regarding different issues.
no code implementations • 29 Jul 2021 • Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi
Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021.
no code implementations • 11 Dec 2019 • Amir Karami, Cynthia Nicole White, Kayla Ford, Suzanne Swan, Melek Yildiz Spinel
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.
no code implementations • 25 Nov 2019 • Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi
One of the challenges for text analysis in medical domains is analyzing large-scale medical documents.
no code implementations • 21 Sep 2019 • Amir Karami
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.
1 code implementation • 1 Jul 2019 • Amir Karami, Suzanne C. Swan, Cynthia Nicole White, Kayla Ford
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.
1 code implementation • 23 May 2019 • Amir Karami, Mehdi Ghasemi, Souvik Sen, Marcos Moraes, Vishal Shah
Results: The text mining methods explored high-frequency neurologic DsSs and their trends and the relationships between them from 1955 to 2017.
no code implementations • 7 Mar 2019 • Amir Karami, Vishal Shah, Reza Vaezi, Amit Bansal
This research emphasizes the value of social media analysis and proposes an analytical framework: Twitter Situational Awareness (TwiSA).
no code implementations • 8 Dec 2018 • George Shaw, Amir Karami
Social media analytics allows us to extract, analyze, and establish semantic from user-generated contents in social media platforms.
1 code implementation • 8 Dec 2018 • Amir Karami, Aida Elkouri
This study has collected and examined 4. 5 million tweets related to a US politician, Senator Bernie Sanders.
no code implementations • 18 Aug 2018 • Amir Karami, Frank Webb, Vanessa L. Kitzie
Also, our proposed approach can inform the development of computational strategies to identify the health-related information needs of other marginalized populations.
no code implementations • 17 Aug 2018 • Amir Karami, Matthew Collins
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.
1 code implementation • 26 Jun 2018 • Amir Karami, Noelle M. Pendergraft
The online environment has provided a great opportunity for insurance policyholders to share their complaints with respect to different services.
no code implementations • 24 Mar 2018 • Matthew Collins, Amir Karami
Social networking sites such as Twitter have provided a great opportunity for organizations such as public libraries to disseminate information for public relations purposes.
no code implementations • 24 Mar 2018 • Frank Webb, Amir Karami, Vanessa Kitzie
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.
no code implementations • 6 Feb 2018 • Amir Karami, London S. Bennett, Xiaoyun He
This paper proposes a computational public opinion mining approach to explore the discussion of economic issues in social media during an election.
no code implementations • 16 Dec 2017 • Amir Karami
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.
no code implementations • 22 Sep 2017 • Amir Karami, Alicia A. Dahl, Gabrielle Turner-McGrievy, Hadi Kharrazi, Jr. George Shaw
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.
no code implementations • 22 Sep 2017 • George Shaw Jr., Amir Karami
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).
1 code implementation • 2 May 2017 • Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi
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.