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Akash Kumar Gautam

dblp:255/0193 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › text classification
social media text classification		 0.412020
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract) · AAAI 2020
Web and social media mining
social media analysis		 0.112020
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract) · AAAI 2020
Web and social media mining › social media analysis
twitter data		 0.112020
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract) · AAAI 2020

Methods — techniques the papers use, named apart from their topics

iterative classification · 0.9dataset construction · 0.9
YearPublicationVenuePosition
2021 Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures
abstract
Ramit Sawhney, Puneet Mathur, Taru Jain, Akash Kumar Gautam, Rajiv Ratn Shah. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
Ramit Sawhney, Puneet Mathur, Taru Jain, Akash Kumar Gautam, Rajiv Ratn Shah
 NAACL-HLT4
2020 An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)
abstract
Twitter is a social media platform where users express opinions over a variety of issues. Posts offering grievances or complaints can be utilized by private/ public organizations to improve their service and promptly gauge a low-cost assessment. In this paper, we propose an iterative methodology which aims to identify complaint based posts pertaining to the transport domain. We perform comprehensive evaluations along with releasing a novel dataset for the research purposes1.
Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney
 AAAI2
2020 #MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement
Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah
 ICWSM1