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Soroush Javdan

3 papers hereh-index 483 citations6 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CL2
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedPars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian

9 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SE2025

CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report Retrieval

Soroush Javdan, Pragash Krishnamoorthy, Olga Baysal

The rapid evolution of the telecommunication industry necessitates efficient troubleshooting processes to maintain network reliability, software maintainability, and service qualit…

cs.CL2020

IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text using Deep Neural Networks and Linear Baselines

Soroush Javdan, Taha Shangipour ataei, Behrouz Minaei-Bidgoli

Sentiment Analysis is a well-studied field of Natural Language Processing. However, the rapid growth of social media and noisy content within them poses significant challenges in a…

cs.CL2019★ 9 cited

Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian

Taha Shangipour Ataei, Kamyar Darvishi, Soroush Javdan +2

Due to the increased availability of online reviews, sentiment analysis had been witnessed a booming interest from the researchers. Sentiment analysis is a computational treatment…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.