Parsa 👽

I’m a researcher and entrepreneur focused on machine learning, NLP, and news intelligence. My current research areas include large language models and immunology. Previously CEO/founder @ AYLIEN – an NLP startup I sold to Quantexa. Currently Head of Product Innovation at Quantexa.

🧬 My genetic material

My genome is open source, and you can view/clone (!) it via my Genome Library on GitHub.

🤝 Ways to connect with me

• Connect with me on LinkedIn
• Read my blog posts on Medium
• Follow me on Twitter
• Read my publications on Google Scholar
• Drop me an email: parsa.ghaffari@gmail.com

🙇‍♂️ Projects

• NewsGPT - Query the news in plain English

📝 Blogs

• Why I love immunology (and why you should too) (May 3, 2023) immunology ideas
• Revisiting the Simulation Hypothesis (With a Side of Solipsism) (January 29, 2023) ideas
• Identifying causal links in NLP-enriched news data (with R code and dataset) (October 18, 2022) time series code causal inference
• Stock-NewsEventsSentiment (SNES) 1.0: A time-series dataset for joint news and market data analysis of stocks (July 27, 2022) time series dataset
• Exploring relationships between news and market data using time series analysis (June 30, 2022) time series

👨‍🔬 Publications

• Character-level and multi-channel convolutional neural networks for large-scale authorship attribution
• 360 stance detection
• Data selection strategies for multi-domain sentiment analysis
• Knowledge adaptation: Teaching to adapt
• Towards a continuous modeling of natural language domains
• Character-level and multi-channel convolutional neural networks for large-scale authorship attribution
• A hierarchical model of reviews for aspect-based sentiment analysis
• Insight-1 at semeval-2016 task 4: Convolutional neural networks for sentiment classification and quantification
• Insight-1 at semeval-2016 task 5: Deep learning for multilingual aspect-based sentiment analysis
• Opinion mining and sentiment polarity on twitter and correlation between events and sentiment
• Text analysis and sentiment polarity on FIFA world cup 2014 tweets

🚴‍♂️ Physical activities