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Milinda Kasun commented on BEAM-1439: ------------------------------------- Hi, I'm Milinda Kasun, I am a Final year undergraduate from the Department of Computer Science and Engineering (University of Moratuwa, Sri Lanka). I have experience on development with Java and Python. I would like do this project for GSoC 2017. It would be greatly appreciated if you could help me get started. Thank You > Beam Example(s) exploring public document datasets > -------------------------------------------------- > > Key: BEAM-1439 > URL: https://issues.apache.org/jira/browse/BEAM-1439 > Project: Beam > Issue Type: Wish > Components: examples-java > Reporter: Kenneth Knowles > Assignee: Kenneth Knowles > Priority: Minor > Labels: gsoc2017, java, mentor, python > > In Beam, we have examples illustrating counting the occurrences of words and > performing a basic TF-IDF analysis on the works of Shakespeare (or whatever > you point it at). It would be even cooler to do these analyses, and more, on > a much larger data set that is really the subject of current investigations. > In chatting with professors at the University of Washington, I've learned > that scholars of many fields would really like to explore new and highly > customized ways of processing the growing body of publicly-available > scholarly documents, such as PubMed Central. Queries like "show me documents > where chemical compounds X and Y were both used in the 'method' section" > So I propose a Google Summer of Code project wherein a student writes some > large-scale Beam pipelines to perform analyses such as term frequency, bigram > frequency, etc. > Skills required: > - Java or Python > - (nice to have) Working through the Beam getting started materials -- This message was sent by Atlassian JIRA (v6.3.15#6346)