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M. A. Bashar

6 papers hereh-index 14623 citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SI2
  • cs.CV1
same name
  • M. A. Bashar — 1 paper, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMisogynistic Tweet Detection: Modelling CNN with Small Datasets

23 citations · 36 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2021

Deep Learning for Bias Detection: From Inception to Deployment

Md Abul Bashar, Richi Nayak, Anjor Kothare +2

To create a more inclusive workplace, enterprises are actively investing in identifying and eliminating unconscious bias (e.g., gender, race, age, disability, elitism and religion)…

cs.CL2020★ 23 cited

Misogynistic Tweet Detection: Modelling CNN with Small Datasets

Md Abul Bashar, Richi Nayak, Nicolas Suzor +1

Online abuse directed towards women on the social media platform Twitter has attracted considerable attention in recent years. An automated method to effectively identify misogynis…

cs.CL2020★ 11 cited

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language

Md Abul Bashar, Richi Nayak

We describe our top-team solution to Task 1 for Hindi in the HASOC contest organised by FIRE 2019. The task is to identify hate speech and offensive language in Hindi. More specifi…

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