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.

My Publications

Published June 8, 2020

Beyond Positive Emotion: Deconstructing Happy Moments based on Writing Prompts

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

Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Halevy, Lyle Ungar
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published April 14, 2020

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

European Conference on Information Retrieval (ECIR)

Kushal Chawla, Niyati Chhaya
  • AI & Machine Learning
  • Content Intelligence

Published March 17, 2020

Recommendation for Video Advertisements based on Personality Traits and Companion Content

ACM Conference on Intelligent User Interfaces (ACM IUI)

Sanorita Dey, Brittany R.L. Duff, Niyati Chhaya, Wai Fu, Vishy Swaminathan, Karrie Karahalios
  • Content Intelligence

Published November 18, 2019

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

International Conference on Social Informatics (SocInfo)

Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrilla Saha, Milind Shrivastava
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published November 7, 2019

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

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma
  • AI & Machine Learning
  • Natural Language Processing

Published November 4, 2019

Generating Formality-tuned Summaries Using Token-based Rewards

SIGNLL Conference on Computational Natural Language Learning (CONLL)

Kushal Chawla, Balaji Vasan Srinivasan, Niyati Chhaya
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published September 3, 2019

Pre-trained Affective Word Representations

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

Kushal Chawla, Sopan Khosla, Niyati Chhaya, Kokil Jaidka
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published April 14, 2019

Gated Convolutional Encoder-Decoder for Semi-Supervised Affect Prediction

The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Kushal Chawla*, Sopan Khosla*, Niyati Chhaya
  • Content Intelligence

Published March 20, 2019

Content-based Layout Optimization

ACM IUI Workshop on Exploratory Search and Interactive Data Analytics

Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya
  • AI & Machine Learning
  • Content Intelligence
  • Human Computer Interaction
  • Natural Language Processing

Published March 17, 2019

Metrics based Content Layouting

24th ACM International Conference on Intelligent User Interfaces (IUI Poster)

Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya
  • AI & Machine Learning
  • Content Intelligence
  • Human Computer Interaction
  • Natural Language Processing

Published August 20, 2018

Aff2Vec: Affect–Enriched Distributional Word Representations

The 27th International Conference on Computational Linguistics (COLING)

Sopan Khosla, Niyati Chhaya, Kushal Chawla
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published July 15, 2018

Diachronic degradation of language models: Insights from social media

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

Kokil Jaidka, Niyati Chhaya, Lyle Ungar
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published July 1, 2018

Predicting Email Opens with Domain-Sensitive Affect Detection

19th International Conference on Intelligent Text Processing and Computational Linguistics

Niyati Chhaya, Kokil Jaidka, Rahul Wadbude
  • Content Intelligence

Published April 20, 2017

BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection

Proceedings of 18th International Conference Computational Linguistics and Intelligent Text Processing

Kokil Jaidka, Niyati Chhaya, Rahul Wadbude, Sanket Kedia, Manikanta Nallagatla
  • Natural Language Processing

Published April 17, 2017

Corpus-based Automatic Text Expansion

18th International Conference on Intelligent Text Processing and Computational Linguistics

Balaji Vasan Srinivasan, Rishiraj Saha Roy, Harsh Jhamtani, Natwar Modani, Niyati Chhaya
  • AI & Machine Learning
  • Content Intelligence
  • Natural Language Processing

Published April 10, 2017

Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages

39th European Conference on Information Retrieval, {ECIR} 2017, Aberdeen, UK

Harsh Jhamtani, Rishiraj Saha Roy, Niyati Chhaya, Eric Nyberg
  • AI & Machine Learning
  • Natural Language Processing

Published December 1, 2015

Identifying Suggestions for Improvement of Product Features from Online Product Reviews

SocInfo

Harsh Jhamtani, Niyati Chhaya, D. Varshney, S. Karwa, D. Kedia, V. Gupta
  • AI & Machine Learning
  • Natural Language Processing

Published August 28, 2015

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

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France

Niyati Chhaya, Dhwanit Agarwal, Nikaash Puri, Paridhi Jain, Deepak Pai, Ponnurangam Kumaraguru
  • AI & Machine Learning
  • Natural Language Processing

Published May 18, 2015

Probabilistic Deduplication of Anonymous Web Traffic

24th International World Wide Web Conference (WWW '15) Posters

R. Saha Roy, Ritwik Sinha, Niyati Chhaya, Shiv Saini

Published September 5, 2012

Joint inference of Soft Biometric Features

5th IAPR International Conference on Biometrics, {ICB} 2012, New Delhi, India

Niyati Chhaya, Tim Oates
  • AI & Machine Learning
  • Natural Language Processing

Published November 16, 2011

Combining Soft Biometrics from Images to Generate Text Descriptors

Proceedings of NIPS Workshop on Integrating Language and Vision

Niyati Chhaya, Tim Oates
  • AI & Machine Learning
  • Natural Language Processing

Published August 17, 2011

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

Mid-Atlantic Student Symposium on Speech, Language, and Learning

Niyati Chhaya, Tim Oates
  • AI & Machine Learning
  • Natural Language Processing

Published April 1, 2011

Robust Face Detection in Patient Triage Images.

In Proceedings of the International Conference on Computer Vision Theory and Applications

Niyati Chhaya, Tim Oates
  • AI & Machine Learning
  • Computer Vision, Imaging & Video

Published March 1, 2011

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

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence

Niyati Chhaya
  • AI & Machine Learning
  • Natural Language Processing