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Subhajit Datta

Researcher at Singapore University of Technology and Design

Publications -  31
Citations -  603

Subhajit Datta is an academic researcher from Singapore University of Technology and Design. The author has contributed to research in topics: Software development & Social software engineering. The author has an hindex of 9, co-authored 29 publications receiving 477 citations. Previous affiliations of Subhajit Datta include Singapore Management University & IBM.

Papers
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Journal ArticleDOI

On negative results when using sentiment analysis tools for software engineering research

TL;DR: Whether the sentiment analysis tools agree with the sentiment recognized by human evaluators (as reported in an earlier study) as well as with each other is studied.
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Trace element composition of PM2.5 and PM10 from Kolkata – a heavily polluted Indian metropolis

TL;DR: In this paper, the authors measured the elemental composition of PM 2.5 and PM 10 from 16 locations in Greater Kolkata in Eastern India using an Agilent 7700 series ICP-MS equipped with a 3rd generation He reaction/collision cell following closed vessel microwave digestion.
Proceedings ArticleDOI

Choosing your weapons: On sentiment analysis tools for software engineering research

TL;DR: This paper studies whether the sentiment analysis tools agree with the sentiment recognized by human evaluators as well as with each other and the impact of the choice of a sentiment analysis tool on software engineering studies.
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Mercury isotopes of atmospheric particle bound mercury for source apportionment study in urban Kolkata, India

TL;DR: In this paper, the authors measured the Hg isotope composition of PBM in PM10 samples collected from three locations, a traffic junction, a waste incineration site and an industrial site in Kolkata, the largest metropolis in Eastern India.
Proceedings ArticleDOI

Effectiveness of Physical Robot Versus Robot Simulator in Teaching Introductory Programming

TL;DR: The results suggest that there is no significant difference in terms of students' learning between the two approaches, however, the control group that uses the physical robot shows a more positive response in their attitudes towards computing.