Parsa 👽
I’m a researcher and entrepreneur focused on machine learning, NLP, and news intelligence. My current research areas include risk modeling, statistics, and basic immunology. CEO/founder @ AYLIEN - we’re hiring!
My genetic material 🧬
My genome is open source, and you can view/clone! it in my Genome Library.
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@aylien.com
Projects
Blogs
- 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 seriescodecausal inference - Stock-NewsEventsSentiment (SNES) 1.0: A time-series dataset for joint news and market data analysis of stocks (July 27, 2022)
time seriesdataset - 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