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) Home: :doc:`index`