Name: Dr Mo El-Haj
Type: User
Company: Lancaster University
Bio: NLP Senior Lecturer at Lancaster University interested in NLP, Financial NLP, Summarization, Multilingual Corpus & Computational Linguistics & Machine Learning
Twitter: docElhaj
Location: Lancaster, UK
Blog: http://www.lancaster.ac.uk/staff/elhaj
Dr Mo El-Haj's Projects
Data and software for building the ACL Anthology.
test files not a real project
Repository for the Bio text mining project. PI: Jo Knight Lancaster University
Word sense disambiguation task front-end for translation of USAS lexicons
CFIE Final Report Structure Extractor (FRSE) is a free tool to detect structure and extract contents from UK Annual Reports
This is the testing version for CFIE-FRSE for the Stable version please use https://github.com/drelhaj/CFIE-FRSE
Config files for my GitHub profile.
Java tool to create word cloud by calculating frequencies and log Likelihood for a word between two large corpora
assignment
Text Classification using Machine Learning session at Lancaster Summer Schools in Corpus Linguistics
Language independent simple KWIC Concordance
This is a step by step tutorial for text analyst who want an easy start to basic and and common techniques in NLP, Text Analysis, Machine Learning, Topic Modelling and corpus Linguistics. The tutorial is pat of the "Data Visualisation Workshop for Critical Computational Discourse" at the Data Science Institute at Lancaster University, UK. Presented by Dr Mahmoud El-Haj https://www.lancaster.ac.uk/staff/elhaj
Open Source tool for Arabic text readability
Search and download tweets from Twitter using Tweepy and Twitter API v.2. The code is for those with an Academic Research Twitter Account, which has a limit of 10 million tweets a month and allows fully archive search back to March 2006.
Human ratings of sentiment for typographical variants for IEEE TAC paper
This is a step by step tutorial for text analyst who want an easy start to basic and and common techniques in NLP, Text Analysis, Topic Modelling and corpus Linguistics.