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fwg's Introduction

Flavour Wheel Generator

processing......

Environment setup

  1. For development

  2. For runtime:

pip install git+https://github.com/erwinliyh/fwg@main

python -c "import nltk;nltk.download("wordnet");nltk.download("stopwords")"

start to use

from FWG import utils
from FWG import Concepts
from FWG import Corpus
import Kkit

nlp = utils.init_spacy_nlp()
probase = utils.init_probase("path to probase")

probase_config = Concepts.Concept_conf(probase=probase)

comments = ["I love apples, not the apple phone", "Green apple is a type of apple", "Apple is a kind of fuits, I like apple, I love apple"]

c = Corpus.Corpus(comments, nlp, lexical_name=True, concepts_config=probase_config)



print(c.FD)

print(c.comments)

todo

Functions

  • Finish Corpus.py
    • assess_FD()
    • frequency_filter()
    • POS filter
    • concept filter
    • static_key_concept()
    • gen_td_vec()
    • gen_PCA_vec()
    • gen_CA_vec()
    • gen_tc_vec()
    • gen_GloVe_vec()
  • Finish display.py: for more good visualisation of FD extraction (move to utlils.py)

test

  • test reload class

fwg's People

Contributors

erwinliyh avatar focuswilliam avatar

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