Search Results for author: Amir Karami

Found 21 papers, 5 papers with code

2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter

no code implementations21 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.

COVID-19 Vaccine and Social Media: Exploring Emotions and Discussions on Twitter

no code implementations29 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.

Unwanted Advances in Higher Education: Uncovering Sexual Harassment Experiences in Academia with Text Mining

no code implementations11 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.

FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents

no code implementations25 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.

Document Classification Topic Models

Application of Fuzzy Clustering for Text Data Dimensionality Reduction

no code implementations21 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.

Dimensionality Reduction

Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment

1 code implementation1 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.

Exploring Diseases and Syndromes in Neurology Case Reports from 1955 to 2017 with Text Mining

1 code implementation23 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.

Twitter Speaks: A Case of National Disaster Situational Awareness

no code implementations7 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).

Sentiment Analysis

An Exploratory Study of (#)Exercise in the Twittersphere

no code implementations8 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.

Political Popularity Analysis in Social Media

1 code implementation8 Dec 2018 Amir Karami, Aida Elkouri

This study has collected and examined 4. 5 million tweets related to a US politician, Senator Bernie Sanders.

Characterizing Transgender Health Issues in Twitter

no code implementations18 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.

What do the US West Coast Public Libraries Post on Twitter?

no code implementations17 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.

Computational Analysis of Insurance Complaints: GEICO Case Study

1 code implementation26 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.

Characterizing Diseases and disorders in Gay Users' tweets

no code implementations24 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.

Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study

no code implementations24 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.

Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election

no code implementations6 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.

Opinion Mining Sentiment Analysis

Taming Wild High Dimensional Text Data with a Fuzzy Lash

no code implementations16 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.

Dimensionality Reduction

Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter

no code implementations22 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.

Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise

no code implementations22 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).

Epidemiology Sentiment Analysis

Fuzzy Approach Topic Discovery in Health and Medical Corpora

1 code implementation2 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.

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