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Sima Sharifirad

3 papers here

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedWhen a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP

20 citations · 32 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2019★ 20 cited

When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP

Sima Sharifirad, Stan Matwin

Sexism is very common in social media and makes the boundaries of freedom tighter for feminist and female users. There is still no comprehensive classification of sexism attracting…

cs.SI2019★ 12 cited

How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques

Sima Sharifirad, Borna Jafarpour, Stan Matwin

Online social platforms have been the battlefield of users with different emotions and attitudes toward each other in recent years. While sexism has been considered as a category o…

cs.LG2018

Modified SMOTE Using Mutual Information and Different Sorts of Entropies

Sima Sharifirad, Azra Nazari, Mehdi Ghatee

SMOTE is one of the oversampling techniques for balancing the datasets and it is considered as a pre-processing step in learning algorithms. In this paper, four new enhanced SMOTE…

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