Provide understanding of code for an existing text parser
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Post a project like this2121
€25(approx. $27)
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Description
Experience Level: Entry
An existing dependency parser for tweets (code found at --> https://github.com/ikekonglp/TweeboParser) is effective at parsing twitter text. I want to be able to understand how it works, please?
All relevant documentation can be found at --> http://www.cs.cmu.edu/~ark/TweetNLP/. Using this documentation and the code, please explain exactly how the code is working (using snippets of code where relevant). According to the documentation, the parser is 'trained on a subset of a new labeled corpus drawn from the POS-tagged tweet corpus Tweebank'. When the program runs to parse the tweet, how is this labelled corpus used to parse the input tweet?
I would also like some understanding of the parsed output. How can it be used to identify, for example, how neighboring words are structurally related to a main noun?
All relevant documentation can be found at --> http://www.cs.cmu.edu/~ark/TweetNLP/. Using this documentation and the code, please explain exactly how the code is working (using snippets of code where relevant). According to the documentation, the parser is 'trained on a subset of a new labeled corpus drawn from the POS-tagged tweet corpus Tweebank'. When the program runs to parse the tweet, how is this labelled corpus used to parse the input tweet?
I would also like some understanding of the parsed output. How can it be used to identify, for example, how neighboring words are structurally related to a main noun?
Eddy S.
93% (17)Projects Completed
17
Freelancers worked with
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Projects awarded
90%
Last project
3 May 2022
United States
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