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Demo library

Project description

About The Project

This is a part of project that we are working on it for the Cyber-Physical Group (i6) at the Technical University of Munich. In this part, we develop a script extractor to extract the information such as abstract, author(s), supervisor(s), advisor(s), date of submission, etc.

Built With

Python script has been used for this part of the project.

Getting Started

This is an example of how you may give instructions on setting up your project locally.

import Extract
directory = "D:\CPS\HiWiProjects\Parse\data\mnt\current" #This is a sample directory. You have to change it to your desired directory.
format = "tex" #For now, the code can extract the information from LaTeX(.tex) and Text(.txt) files.
E = Extract.Extraction(directory, format)
All_information = E.Extract_all_together()
Only_Abstracts = E.Extract_Abstract() #This will give you the English and German version of the abstract. The German version may be empty.
Only_Authors = E.Extract_Author()
Only_Titles_en = E.Extract_Titles_en() #English titles
Only_Titles_de = E.Extract_Titles_de() #German titles
Only_Dates = E.Extract_Date()
Only_Supervisors = E.Extract_Supervisor()
Only_Advisors = E.Extract_Advisor()
Only_ThesisTypes = E.Extract_ThesisType()

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Extraction_CPS-0.1.4.tar.gz (4.6 kB view hashes)

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Extraction_CPS-0.1.4-py3-none-any.whl (4.6 kB view hashes)

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