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Niyati Chhaya

Niyati Chhaya has 2 papers in our library, in 2018–2019, most of them on Sentiment & emotion; often with Alexander Gelbukh, Deepanway Ghosal, Navonil Majumder.

2 papers in our library · 2018–2019

OpenAlex · ORCID · h-index 13 · 89 works · 1,542 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 181 citations in our library · 3 more in our library without a page yet · ⭐ Paper Star rank #2385

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Adobe SystemsSan Jose · United States2015–2025 · 51 papers🎓Indian Institute of Technology BombayMumbai · India2019–2025 · 3 papers🎓International Institute of Information Technology, HyderabadHyderabad · India2019–2023 · 3 papers🎓University of Maryland, Baltimore CountyBaltimore · United States2011–2012 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7 Computer Science · 2 works Psychology · 2 works Artificial Intelligence · 2 works Experimental and Cognitive Psychology · 2 works Arts and Humanities · 1 work Language and Linguistics · 1 work Social Psychology · 1 work

🧭 Topics 1 Sentiment & emotion · 1 work

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019 · 852 citations)
    DialogueGCN targets emotion recognition in conversation (ERC). Earlier RNN-based approaches such as DialogueRNN struggle to carry context across distant utterances and do not explicitly encode who said what or where an utterance sits relative to the target. The authors represent each dialogue as a directed graph.…
  2. Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email (2018 · 40 citations)
    The paper asks whether frustration, a fine-grained affect common in workplace exchanges, can be measured from email text alone.

Also in our library

3 more works of theirs are in our library without a page here yet; they will appear as we publish them.

 Co-authors here

5 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 181 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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