Niyati Chhaya

Computer Scientist


Niyati is a Computer Scientist at the Big Data Experience Lab, Adobe Research, Bangalore, India. Her research interests include affective computing, computational linguistics, natural language processing, and machine learning.

Psycholinguistics, Computational Linguistics, and Machine learning put together can be efficiently leveraged to understand online users, their content preferences, and specifically their reactions including moods, opinions, and emotions. Niyati focuses on this research Affective Computing for Language and Text. Her work has applications towards Personalization at Scale for Content Authoring and towards creating personalized experiences.

She completed her Ph.D. from University of Maryland Baltimore County (UMBC) in September 2012. Her dissertation was on Joint Inference for Extracting Soft Biometric Text Descriptors from Patient Triage Images. She completed her M.S. in computer science from UMBC in May 2010 and B.E. from University of Pune (India) in 2008. Her work experience includes research internships at National Library of Medicine, National Intitutes of Health, Bethesda, MD.

  Research Area

  • Affective Computing for Language: This research focuses on the analysis of content, specifically text and language towards creating and understanding target, specific audience reactions using Psychographics, Sociology, Psychology, and Computational Linguistics approaches.
  • Brand Content Understanding: Like the content and the online user, brands also create a footprint for themselves through their marketing communication and brand presence. The research here focusses on understanding various brand metrics and intangibles from their publish content point of view.
  • Social Media Analysis: The focus is on understanding the role of user generated content on personifying the online user. The research here includes content expert identification in social communities, scoring creatives, and understanding a user across different networks.

Professional Activities

  • Organizing Committee
    • Co-chair AAAI-18 Workshop on Affective Content Analysis
    • Demo & Exhibits Co-Chair: 10th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2018
    • COLLA Industry/Research Advisory Committee 2018
  • Reviewer & Program Committee  Member : Multiple conferences in the Computational Linguistics, NLP, and Machine learning space such as NAACL, ACL, & COLING; Grace Hopper conference & Grace Hopper Conference India, Workshop on Women in Machine Learning, CODS-COMAD, ACM COMPUTE
  • Reviewer AI Grant.

My Publications

Generating Formality-tuned Summaries Using Token-based Rewards

Chawla, K, Srinivasan, B., Chhaya, N. (Nov. 4, 2019)
SIGNLL Conference on Computational Natural Language Learning (CONLL)

Gated Convolutional Encoder-Decoder for Semi-Supervised Affect Prediction

Chawla*, K., Khosla*, S., Chhaya, N. (Apr. 14, 2019)
The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Content-based Layout Optimization

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 20, 2019)
ACM IUI Workshop on Exploratory Search and Interactive Data Analytics

Metrics based Content Layouting

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 17, 2019)
24th ACM International Conference on Intelligent User Interfaces (IUI Poster)

Predicting Email Opens with Domain-Sensitive Affect Detection

Chhaya, N., Jaidka, K, Wadbude, R. (Jul. 1, 2018)
19th International Conference on Intelligent Text Processing and Computational Linguistics

BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection

Jaidka, K, Chhaya, N., Wadbude, R., Kedia, S., Nallagatla, M. (Apr. 20, 2017)
Proceedings of 18th International Conference Computational Linguistics and Intelligent Text Processing

Corpus-based Automatic Text Expansion

Srinivasan, B., Roy, R., Jhamtani, H, Modani, N., Chhaya, N. (Apr. 17, 2017)
18th International Conference on Intelligent Text Processing and Computational Linguistics

Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages

Jhamtani, H, Roy, R., Chhaya, N., Nyberg, E. (Apr. 10, 2017)
39th European Conference on Information Retrieval, {ECIR} 2017, Aberdeen, UK

Identifying Suggestions for Improvement of Product Features from Online Product Reviews

Jhamtani, H, Chhaya, N., Varshney, D., Karwa, S., Kedia, D., Gupta, V. (Dec. 1, 2015)

EnTwine: Feature Analysis and Candidate Selection for Social User Identity Aggregation

Chhaya, N., Agarwal, D., Puri, N., Jain, P., Pai, D., Kumaraguru, P. (Aug. 28, 2015)
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France

Probabilistic Deduplication of Anonymous Web Traffic

Roy, R., Sinha, R., Chhaya, N., Saini, S. (May. 18, 2015)
24th International World Wide Web Conference (WWW '15) Posters

Joint inference of Soft Biometric Features

Chhaya, N., Oates, T. (Sep. 5, 2012)
5th IAPR International Conference on Biometrics, {ICB} 2012, New Delhi, India

Combining Soft Biometrics from Images to Generate Text Descriptors

Chhaya, N., Oates, T. (Nov. 16, 2011)
Proceedings of NIPS Workshop on Integrating Language and Vision

Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims

Chhaya, N., Oates, T. (Aug. 17, 2011)
Mid-Atlantic Student Symposium on Speech, Language, and Learning

Robust Face Detection in Patient Triage Images.

Chhaya, N., Oates, T. (Apr. 1, 2011)
In Proceedings of the International Conference on Computer Vision Theory and Applications

Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims

Chhaya, N. (Mar. 1, 2011)
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence