UPC-NLP-Neural-NERC

The goal of this project is to build and analyze a language classifying pipeline in order to gain insight and familiarity to typical Natural Language Processing (NLP) tools and strategies.

HOW TO RUN

1. In CMD move to this_dir/source
2. For the best performing model run: python langdetect.py -i "..\data\dataset.csv" -v 1000 -a "word"

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Note:

• The -v (vocabulary size) is a modifiable parameter and -a can be set to 'word' or 'char' granularity
• You need Python3 with a selection of packages like ntlk, Sklearn and pandas. Look at the error code given by the cmd to know what to install using pip.