Taleen Nalabandian
Texas Tech University
6 Papers
17 Citations
Taleen Nalabandian is an academic researcher from Texas Tech University. The author has contributed to research in topics: Writing style & Recursive partitioning. The author has an hindex of 2, co-authored 5 publications.
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Papers
Depressed Individuals Use Negative Self-Focused Language When Recalling Recent Interactions with Close Romantic Partners but Not Family or Friends
Taleen Nalabandian,Molly E. Ireland +1 more
- 01 Jun 2019
TL;DR: This paper explored whether the association between depressive symptoms and negative, self-focused language varies across social contexts and found that depression symptoms positively correlated with negative emotion words and first-person singular pronouns when writing about a recent interaction with romantic partners or, to a lesser extent, friends, but not family members.
13
Genre-typical narrative arcs in films are less appealing to lay audiences and professional film critics
TL;DR: Findings support the growing literature on the appeal of disfluency in the arts and have relevance for researchers in psychology and computer science who are interested in computational linguistic approaches to attitudes, film, and literature.
Dictionaries and Decision Trees for the 2019 CLPsych Shared Task
Micah Iserman,Taleen Nalabandian,Molly E. Ireland +2 more
- 01 Jun 2019
TL;DR: This work focused primarily on Task A, which aimed to predict suicide risk, as rated by a team of expert clinicians, based on language used in SuicideWatch posts on Reddit, and used a recursive partitioning algorithm (decision trees) to select from its set of features.
5
Creating and Testing Specialized Dictionaries for Text Analysis
Roman Taraban,Jessica C. Pittman,Taleen Nalabandian,Winson Fu Zun Yang,William M. Marcy,Srivinasa Murthy Gunturu +5 more
- 30 Jun 2019
TL;DR: In this article, the authors adopt analytic principles from LIWC and develop and test an alternative method of text analysis using naive Bayes methods, which can be used for mark up of student work in order to provide immediate, constructive feedback to students and instructors.
Assessing College Writing: Do Students Connect with the Text?
Taleen Nalabandian,Roman Taraban,Jessica C. Pittman,Sage Maliepaard +3 more
- 30 Jun 2020
TL;DR: This article examined students' written reactions to an assigned reading as a way to determine whether students connect with the reading and the differing cognitive styles they may utilize in their reactions, and found that students who more strongly connected with the text would also demonstrate greater analytic thinking in their written response and, conversely, those who weakly connected with text would express a more informal response based on experience.