Moein Shahiki Tash
Scholar

Moein Shahiki Tash

Google Scholar ID: kj13UmQAAAAJ
PhD Student
Natural Language ProcessingSocial Media AnalysisMachine LearningPsycholinguistCryptocurrency
Citations & Impact
All-time
Citations
272
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • No specific academic achievements mentioned.
Research Experience
  • 1. NLP Researcher at CIC-IPN (Aug 2022 - Present): Working with Large Language Models (LLMs), developed a novel dataset for online social support, using GPT-3 and GPT-4 models for zero-shot learning, leading to significant improvements in classification performance. 2. Utilized advanced machine learning techniques such as deep neural networks and transformers to enhance model accuracy, applied to tasks like hate speech detection, hope speech recognition, and sentiment analysis. 3. Applied traditional machine learning algorithms like decision trees and support vector machines in a research project focused on language identification. 4. Used Azure Machine Learning to streamline and manage the deployment and training of machine learning models, enhancing performance in various NLP tasks. 5. Employed NLP techniques including emotion recognition with SenticNet to analyze emotional trends from X platform data in relation to cryptocurrency market dynamics. 6. Machine Learning Engineer at Lidoma (Apr 2019 - Jul 2022): Developed and deployed machine learning models for natural language processing tasks, such as sentiment analysis and text classification.
Education
  • PhD in Computer Science - NLP, CIC-IPN, Mexico City; MSc in Computer Science, University of Sistan and Baluchestan; BSc in Computer Science, University of Sistan and Baluchestan.
Background
  • A Ph.D. student specializing in Natural Language Processing, focusing on Social Media Mining and leveraging advanced NLP methods to study user behaviors and sentiments. Research interests include social support, hate speech, fintech, hope speech, language identification, and sentiment analysis. Additionally, has a keen interest in psycholinguistics, studying the interaction between language processing and cognitive functions.
Miscellany
  • Native speaker of Baluchi and Persian, 80% proficiency in English, 60% proficiency in Spanish.