Programme booklet (pdf)

POSTER ABSTRACTS
Abstract
"Pattern", a web mining module for Python
De Smedt, Tom and Daelemans, Walter
CLiPS, University of Antwerp
"Pattern" is a mash-up package for the Python programming language that bundles
fast, regular expressions-based functionality for NLP and data-mining tasks. It consists
of the following modules:
1) pattern.web: provides easy access to Google, Yahoo, Bing, Twitter, Wikipedia,
Flickr, RSS + a robust HTML DOM parser.
2) pattern.en: tools for verb inflection, noun pluralization/singularization, a WordNet
interface, a fast tagger/chunker based on regular expressions.
3) pattern.table: for working with datasheets (e.g. MS Excel) and CSV-files.
4) pattern.search: regular expressions for syntax and semantics. For example:
"BRAND|NP VP JJ+" matches any sentence in which a noun phrase containing a
brand name is followed by a verb phrase followed by one or more adjectives, e.g.
"the new iPhone will be amazing", "Doritos taste cheesy", ...
5) pattern.vector: corpus tools for tf-idf, cosine similarity, vector space search and
LSA.
6) pattern.graph: for exploring graphs and semantic networks.
The package can be used and extended for harvesting online data, opinion mining,
building semantic networks using a machine learning approach, and so on.
Corresponding author: tom.desmedt@ua.ac.be
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