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Gyanesh Anand

dblp:257/3119 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
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
 AAAI1