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ipc_classifier

ml model for IPC class prediction using NLP

to get the files related to this project follow this link https://drive.google.com/file/d/1bOJ2HeKuxFgwhpBrPGk_tXD3tWSynNBl/view?usp=sharing, https://drive.google.com/file/d/1hqVUfPPgMP_NUcOyM7n3juDZveqzyP9d/view?usp=sharing

to get the original xml file:

(click on this link) https://drive.google.com/file/d/1bryEiEUHdwTT-sglJuso_bOeRcUCLo67/view?usp=sharing

NOTE:

Keep all the files and folders in the same directory

To get a better view of Apis and their outputs please open classifier.ipynb

Steps to run the codes:

  1. to process xml file run file :data.py

  2. to extract the data from xml file and create tsv file from it run file:extraction.py

  3. to execute all the models run the file data_processing.py (try to run a single model at a time as it will take some time to train and predict)

To get to the ppt

(click this)https://docs.google.com/presentation/d/13Wd_dy2lCrs50Y4NqltlZKVGuaSpgJoKjYLNHn7xj7w/edit#slide=id.g8a77cbffd6_0_324

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ml model for IPC class prediction using NLP

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