Niyati Chhaya

Sr. Research Scientist

Bangalore

Niyati is a Senior 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 published content point of view.
  • Data-driven Content: Online activities or aggregate user interactions are a key indicator of whether a specific kind of content worked well or not. These indicators also drive the content present in digital media in various places. The research focusses on harvesting the right indicators to influence content served to specific audiences and targets.
  • 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.

Publications

Beyond Positive Emotion: Deconstructing Happy Moments based on Writing Prompts

Jaidka, K., Chhaya, N., Mumick, S., Killingsworth, M., Halevy, A., Ungar, L. (Jun. 8, 2020)

The 14th International Conference on Web and Social Media (ICWSM)

Modeling Causal Impact of Textual Style on a Targeted Goal

Verma, G., Srinivasan, B., Saini, S., Chhaya, N. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Session-based Path Prediction by Combining Local and Global Content Preferences

Chawla, K., Chhaya, N. (Apr. 14, 2020)

European Conference on Information Retrieval (ECIR)

Recommendation for Video Advertisements based on Personality Traits and Companion Content

Dey, S., Duff, B., Chhaya, N., Fu, W., Swaminathan, V., Karahalios, K. (Mar. 17, 2020)

ACM Conference on Intelligent User Interfaces (ACM IUI)

Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates

Khosla, S., Chhaya, N., Jindal, S., Saha, O., Shrivastava, M. (Nov. 18, 2019)

International Conference on Social Informatics (SocInfo)

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Ghosal, D., Majumder, N., Poria, S., Chhaya, N., Gelbukh, A. (Nov. 7, 2019)

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Parikh, P., Abburi, H., Badjatiya, P., Krishnan, R., Chhaya, N., Gupta, M., Varma, V. (Nov. 7, 2019)

Conference on Empirical Methods in Natural Language Processing (EMNLP)

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)

Pre-trained Affective Word Representations

Chawla, K., Khosla, S., Chhaya, N., Jaidka, K. (Sep. 3, 2019)

8th International Conference on Affective Computing and Intelligent Interaction (ACII)

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)

Aff2Vec: Affect–Enriched Distributional Word Representations

Khosla, S., Chhaya, N., Chawla, K. (Aug. 20, 2018)

The 27th International Conference on Computational Linguistics (COLING)

Diachronic degradation of language models: Insights from social media

Jaidka, K., Chhaya, N., Ungar, L. (Jul. 15, 2018)

56th Annual Meeting of the Association for Computational Linguistics (ACL)

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)

SocInfo

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

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