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]
model_filepath
Perform prediction on short text with a given trained model.
positional arguments:
model_filepath Path of the trained (compact) model.
optional arguments:
-h, --help show this help message and exit
--wv WV Path of the pre-trained Word2Vec model. (None if not
needed)
--vecsize VECSIZE Vector dimensions. (Default: 300)
--topn TOPN Number of top-scored results displayed. (Default: 10)
--inputtext INPUTTEXT
single input text for classification. Run console if
set to None. (Default: None)
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")
WordEmbedAPI¶
usage: WordEmbedAPI [-h] [--port PORT] [--embedtype EMBEDTYPE] [--debug]
filepath
Load word-embedding models into memory.
positional arguments:
filepath file path of the word-embedding model
optional arguments:
-h, --help show this help message and exit
--port PORT port number
--embedtype EMBEDTYPE
type of word-embedding algorithm (default: "word2vec),
allowing "word2vec", "fasttext", and "poincare"
--debug Debug mode (Default: False)
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