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tshrdlu

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Author: Jason Baldridge ([email protected])

This is a parent repository for project related code for Applied NLP course being taught by Jason Baldridge at UT Austin. This involves creating applications that use Twitter streams and can take automated actions as Twitter users, using natural language processing and machine learning.

The name "tshrdlu" comes from Twitter+SHRDLU.

For more information, updates, etc., follow @appliednlp on Twitter. The @tshrdlu account is now doing some tweeting of its own (by which I mean automated tweeting, based on the code in this repository).

Requirements

Configuring your environment variables

The easiest thing to do is to set the environment variables JAVA_HOME and TSHRDLU_DIR to the relevant locations on your system. Set JAVA_HOME to match the top level directory containing the Java installation you want to use.

Next, add the directory TSHRDLU_DIR/bin to your path. For example, you can set the path in your .bashrc file as follows:

export PATH=$PATH:$TSHRDLU_DIR/bin

Once you have taken care of these three things, you should be able to build and use tshrdlu.

You will also need to configure twitter4j Twitter access, see http://twitter4j.org/en/configuration.html for details.

If you plan to index and search objects using the provided code based on Lucene, you can customize the directory where on-disk indexes are stored (the default is the tempdir, check the directory tshrdlu) by setting the environment variable TSHRDLU_INDEX_DIR.

Some functionality depends on GeoNames API access (free to sign up and use). To take advantage of this functionality, create an account and set the environment variable TSHRDLU_GEONAMES_USERNAME to your GeoNames username. tshrdlu should still run without this but some of the repliers will not function.

Building the system from source

tshrdlu uses SBT (Simple Build Tool) with a standard directory structure. To build tshrdlu, type (in the TSHRDLU_DIR directory):

$ ./build update compile

This will compile the source files and put them in ./target/classes. If this is your first time running it, you will see messages about Scala being downloaded -- this is fine and expected. Once that is over, the tshrdlu code will be compiled.

To try out other build targets, do:

$ ./build

This will drop you into the SBT interface. To see the actions that are possible, hit the TAB key. (In general, you can do auto-completion on any command prefix in SBT, hurrah!)

To make sure all the tests pass, do:

$ ./build test

Documentation for SBT is at http://www.scala-sbt.org/

Note: if you have SBT already installed on your system, you can also just call it directly with "sbt" in TSHRDLU_DIR.

Questions or suggestions?

Email Jason Baldridge: [email protected]

Or, create an issue: https://github.com/utcompling/tshrdlu/issues

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Code for project for Applied NLP class.

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