asreview.models.feature_extraction.EmbeddingIdf
- class asreview.models.feature_extraction.EmbeddingIdf(*args, embedding_fp=None, random_state=None, **kwargs)[source]
Embedding IDF feature extraction technique (
embedding-idf
).This model averages the weighted word vectors of all the words in the text, in order to get a single feature vector for each text. The weights are provided by the inverse document frequencies.
Note
This feature extraction technique requires
tensorflow
to be installed. Usepip install asreview[tensorflow]
or install all optional ASReview dependencies withpip install asreview[all]
- Parameters:
embedding_fp (str) – Path to embedding.
Attributes
Get the default parameters of the model.
Get the (assigned) parameters of the model.
Methods
fit
(texts)Fit the model to the texts.
fit_transform
(texts[, titles, abstracts, ...])Fit and transform a list of texts.
transform
(texts)Transform a list of texts.