Console Scripts

This package provides two scripts.

The development of the scripts is not stable yet, and more scripts will be added.

ShortTextCategorizerConsole

usage: ShortTextCategorizerConsole [-h] [--wv WV] [--vecsize VECSIZE]
                                   [--topn TOPN] [--inputtext INPUTTEXT]
                                   [--type {word2vec,word2vec_nonbinary,fasttext,poincare,poincare_binary}]
                                   model_filepath

Perform prediction on short text with a given trained model.

positional arguments:
  model_filepath        Path of the trained (compact) model.

options:
  -h, --help            show this help message and exit
  --wv WV               Path of the pre-trained Word2Vec model.
  --vecsize VECSIZE     Vector dimensions. (Default: 300)
  --topn TOPN           Number of top results to show.
  --inputtext INPUTTEXT
                        Single input text for classification. If omitted, will
                        enter console mode.
  --type {word2vec,word2vec_nonbinary,fasttext,poincare,poincare_binary}
                        Type of word-embedding model (default: word2vec)

ShortTextWordEmbedSimilarity

usage: ShortTextWordEmbedSimilarity [-h] [--type TYPE] modelpath

Find the similarities between two short sentences using Word2Vec.

positional arguments:
  modelpath    Path of the Word2Vec model

optional arguments:
  -h, --help   show this help message and exit
  --type TYPE  Type of word-embedding model (default: "word2vec"; other
               options: "fasttext", "poincare")

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