ICANN Lab Publications

Overview

ICANN Lab Publications

2020

Ghosh, S., & Shah, C. (2020). Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. Proceedings of the 53rd Hawaii International Conference on System Sciences.

Ghosh, S. (2020). Exploring intelligent functionalities of spoken conversational search systems. Rutgers University-School of Graduate Studies.

2019

Ghosh, S., & Ghosh, S. (2019). Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering. Proceedings of the 11th Forum for Information Retrieval Evaluation, 52–55.

Ghosh, S., & Shah, C. (2019). Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2449–2452.

Ghosh, S. (2019). Informing the Design of Conversational IR Systems: Framework and Result Presentation. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 1454.

Ghosh, S. (2019). Exploring Result Presentation in Conversational IR Using a Wizard-of-Oz Study. European Conference on Information Retrieval, 327–331.

Ghosh, S. (2019). Investigating Result Presentation in Conversational IR. Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 421–424.

Ghosh, S., & Shah, C. (2019). Toward automatic fake news classification. Proceedings of the 52nd Hawaii International Conference on System Sciences.

2018

Ghosh, S., Rath, M., & Shah, C. (2018). Searching as learning: Exploring search behavior and learning outcomes in learning-related tasks. Proceedings of the 2018 Conference on Human Information Interaction & Retrieval, 22–31.

Rath, M., Ghosh, S., & Shah, C. (2018). Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. Proceedings of the 2018 Conference on Human Information Interaction & Retrieval, 285–288.

Ghosh, S., & Shah, C. (2018). Towards automatic fake news classification. Proceedings of the Association for Information Science and Technology, 55(1), 805–807.

Reynolds, R., Meyers, E., Ghosh, S., & Novin, A. (2018). Beyond Bloom’s Taxonomy: Integrating “searching as learning” and e-learning research perspectives. Proceedings of the Association for Information Science and Technology, 55(1), 726–729.

2017

Ghosh, S., Ghosh, S., & Das, D. (2017). Complexity metric for code-mixed social media text. Computación y Sistemas, 21(4), 693–701.

Ghosh, S., Ghosh, S., & Das, D. (2017). Sentiment identification in code-mixed social media text. ArXiv Preprint ArXiv:1707.01184.

Singh, V. K., Ghosh, S., & Jose, C. (2017). Toward multimodal cyberbullying detection. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2090–2099.

Ghosh, S., & Shah, C. (2017). Information seeking in learning-oriented search. Proceedings of the Association for Information Science and Technology, 54(1), 682–684.

2016

Ghosh, S., Ghosh, S., & Das, D. (2016). Part-of-speech tagging of code-mixed social media text. Proceedings of the Second Workshop on Computational Approaches to Code Switching, 90–97.

Maitra, P., Ghosh, S., & Das, D. (2016). Authorship Verification-An Approach based on Random Forest. ArXiv Preprint ArXiv:1607.08885.

Ghosh, S., Ghosh, S., & Das, D. (2016). Labeling of Query Words using Conditional Random Field. ArXiv Preprint ArXiv:1607.08883.

Ghosh, S., Maitra, P., & Das, D. (2016). Feature Based Approach to Named Entity Recognition and Linking for Tweets. # Microposts, 74–76.

Ghosh, S., Das, D., & Chakraborty, T. (2016). Determining sentiment in citation text and analyzing its impact on the proposed ranking index. International Conference on Intelligent Text Processing and Computational Linguistics, 292–306.