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A system for machine learning from live human demonstration

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Description

itagapaper is Python tool for interactively tagging conferences papers using user-specified keywords.

Running the program opens an interactive command-prompt appliation that displays each paper abstract and title.

The program works on keyword based search. The search results can be modified With a set of user-specified keywords (keywords folder)

Every paper, the user queries and tags, is written back to the database.

The selected files are separately stored in file (selected_papers folders) for later viewing.

Steps

Please execute the steps in following for effective use.

Navigate to github folder using Cd.

>> cd pathtofile/itagapaper/

Install dependencies

>> pip install -r requirements.txt

Search command

>> python i-prompt.py --kw keywords2.txt --db nime_abstracts.json

View results

>> python selected_papers.py

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A system for machine learning from live human demonstration

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