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Tweet Archives Unleashed Toolkit (twut)

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An open-source toolkit for analyzing line-oriented JSON data from the Twitter v1.1 API or flattened line-oriented JSON data from the Twitter v2 API using Apache Spark.

Dependencies

Getting Started

To get started with twut, you can either use it directly from Maven or download the JAR and ZIP files for Spark or PySpark.

Using the Spark Shell

To use twut with Apache Spark, you can use the following command to include the package:

$ spark-shell --packages "io.archivesunleashed:twut:1.1.0"

Alternatively, you can download the JAR file from the latest release and include it manually:

$ spark-shell --jars /path/to/twut-1.1.0-fatjar.jar

Using PySpark

For Python users, download the ZIP file from the latest release and include it in your PySpark environment:

$ pyspark --py-files /path/to/twut-1.1.0.zip

You will also need to set the PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON environment variables.

Documentation and Tutorials

After you have twut built or downloaded, you can follow the basic set of recipes and tutorials here.

License

Licensed under the Apache License, Version 2.0.

Acknowledgments

This work is primarily supported by the Andrew W. Mellon Foundation. Other financial and in-kind support comes from the Social Sciences and Humanities Research Council, Compute Canada, the Ontario Ministry of Research, Innovation, and Science, York University Libraries, Start Smart Labs, and the Faculty of Arts and David R. Cheriton School of Computer Science at the University of Waterloo.

Any opinions, findings, and conclusions or recommendations expressed are those of the researchers and do not necessarily reflect the views of the sponsors.