Archives of #Natural Language Processing

PyConUK 2013

I’m just finishing with PyConUK, it has been a fun 3 days (and the sprints carry on tomorrow). Yesterday I presented a lightly tweaked version of my Brand Disambiguation with scikit-learn talk on natural language processing for social media processing. I had 65 people in the room (cripes!), 2/3 had used ML or NLP for […]

Some Natural Language Processing and ML Papers

After I spoke at DataScienceLondon in June I was given a set of paper references by a couple of people (the bulk were by Levente Török) – thanks to all. They’re listed below. Along the same lines I have one machine learning paper aimed at beginners to recommend (“A Few Useful Things to Know about […]

Visualising London, Brighton and the UK using Geo-Tweets

Recently I’ve been grabbing Tweets some some natural language processing analysis (in Python using NetworkX and NLTK) – see this PyCon and PyData conversation analysis. Using the London dataset (visualised in the PyData post) I wondered if the geo-tagged tweets would give a good-looking map of London. It turns out that it does: You can […]

More Python 3.3 downloads than Python 2.7 for past 3 months

Since PyCon 2013 I’ve been in a set of conversations that start with “should I be using Python 3.3 for science work?”. Here’s a recent reddit thread on the subject. Last year I solidly recommended using Python 2.7 for scientific work (as many key libraries weren’t yet supported). I’m on the cusp of changing my […]

Applied Parallel Computing (PyCon 2013 Tutorial) slides and code

Minesh B. Amin (MBASciences) and I (Mor Consulting Ltd) taught Applied Parallel Computing over 3 hours at PyCon 2013. PyCon this year was a heck of a lot of fun, I did the fun run (mentioned below), received one of the free 2500 RaspberryPis that were given away, met an awful lot of interesting people […]

Analysing #pydata, London and Brighton tweets for concept mapping

Below I’ve visualised tweets for #PyData conference and the cities of London and Brighton – this builds on my ‘concept cloud‘ from a few days ago at the #PyCon conference. Props to Maksim for his Social Media Analysis tutorial for inspiration. Update – Maksim’s Analying Social Networks tutorial video is online. For the earlier #PyCon […]

PowerPoint: Brief Introduction to NLProc. for Social Media

For my client (AdaptiveLab) I recently gave an internal talk on the state of the art of Natural Language Processing around Social Media (specifically Twitter and Facebook), having spent a few days digesting recent research papers. The area is fascinating (I want to do some work here via my Annotate.io) as the text is so […]

Review for Python Text Processing with NLTK 2.0 Cookbook (Packt, 2010)

Python Text Processing with NLTK 2.0 Cookbook (Amazon US, UK) is a cookbook for Python’s Natural Language Processing Toolkit. I’d suggest that this book is seen as a companion for O’Reilly’s Natural Language Processing with Python (available for free at nltk.org). The older O’Reilly book gives a lot of explanation for how to use NLTK’s […]

Packt’s new “Python Text Processing with NLTK 2.0 Cookbook”

I’m rather excited to have received a review copy of Packt’s new NLP book “Python Text Processing with NLTK 2.0 Cookbook“, it is based around Python’s Natural Language Processing toolkit. I’ve been using the O’Reilly book for over a year, I’m curious to see what’s different between the two. I’ll post a full review once […]

Science companies around Brighton

Two years back I posted an entry listing the science companies I knew around Brighton who are involved in high-tech software (i.e. not science companies who make physical products). The list has changed a bit with some nice additions so I’ve updated it below.  If you know of one that I’m missing do send me […]