My research deals with the analysis of spontaneous language samples. I work with written language mostly, but some of my work also deals with transcriptions of spoken language. My main research projects can be categorized along these lines:
- Forensic linguistics, including authorship attribution, profiling and plagiarism detection
- Computational Linguistics for the analysis of Code-Switched data
- Health informatics (information extraction from patient generated data)
- Clinical NLP, the use of NLP in language assessment for a clinical purpose (diagnose, monitor conditions affecting language patterns)
Dr. López-Monroy obtained his MSc and PhD in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico. His research focuses on, but not limited to, the intersection of the fields of Natural Language Processing (NLP) and Computer Vision (CV). In his research he exploits image analysis and text mining algorithms to design novel methods in “Language & Vision” tasks.
Authorship Attribution, Author Profiling, Social Media Analysis
My research interest is in the area of Natural Language Processing (NLP). Currently I am working on Success prediction of Books, Codeswitching, and Detection and Prevention of Cyberbullying.
I am interested in problems like Sentiment and Emotion Analysis, Stylistic Analysis of Text, Automated Text Generation and Information Retrieval.
My research interests are problems in Natural Language Processing and Machine Learning such as language assessment, automatic question answering, text classification, among others.
My research interests are, but not limited to, Natural Language Processing, Digital Image Processing, Machine Learning, and Artificial Intelligence. I am currently working on Named Entity Recognition on code-switched Twitter data using Deep Learning
My research work focuses on Natural Language Processing. I am interested in problems such as analysis of code-switching in text, stylistic analysis on text, sentiment analysis, among others. I am currently working on analysis of code-switched social media text.
Amirreza (Reza) Shirani
Pursuing Master’s Thesis on Early Risk Detection of Psychological Depression . It involves Data Preprocessing, Dense Vector Representations (Natural Language Processing), Supervised Machine learning.
Mario Ezra Aragon
My research interests are, but not limited to, Multimodal Natural Language Processing using Pattern Recognition and Machine Learning Technics.