Archives of #Tweets

Visualising the internals of Logistic Regression on a Text Matrix

Below I have some plots that visualise the term matrix (as a binary matrix and as a TF-IDF matrix) for the brand disambiguation project followed by a visualisation of the coefficients used in scikit-learn’s LogisticRegression classifier using l1 and l2 penalties. Using a CountVectorizer with binary=True we can mark the absence or presence of a […]

June project: Disambiguating “brands” in Social Media

Having returned from Chile last year, settled in to consulting in London, got married and now on honeymoon I’m planning on a change for June. I’m taking the month off from clients to work on my own project, an open sourced brand disambiguator for social media. As an example this will detect that the following […]

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 […]

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 […]

Semantic map of PyCon2013 Twitter Topics

Maksim taught a lovely Social Graph Analytics course at PyCon the day before I taught Applied Parallel Computing. I took his demo for a “poor mans LDA/LSI analysis” of a Twitter topic (rather than using full LDA it just uses co-incident hashtags) and added usernames to produce the plot below. Update – Analysing #pydata conference […]

ANN: twitter-text-python release (Python Tweet parsing library)

A few weeks back I took over as maintainer of the twitter-text-python library (source on github). This library lets you take a tweet like: "@ianozsvald, you now support #IvoWertzel's tweet ... parser!" and extract the Twitter entities as defined in the Twitter conformance tests. The entities in the above tweet would be: reply: 'ianozsvald' […]

MakerFaire 2011

This weekend Emily and I visited MakerFaire UK 2011 in Newcastle. What fun! You need a MakerFaire to see such a wide (and crazy) collection of electronic and mechanical hackery along with soldering tables that anyone (kids too) can interact with. We went up representing BuildBrighton (our local Hacker Space) and to do some research […]

£5 App #23 – “Things we built this summer”

Last Tuesday we had our 23rd £5 App event, given that it is only our second event this year we chose to let people “show and tell” about the things they built this summer. We had 9 speakers, I bought the beer, John baked the cakes. Shardcore and the Englightenment Machine Shardcore‘s Enlightenment Machine was […]
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