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Questions - fasttext

Accessing fasttext vectors in spaCy

I have converted the fasttext vectors into spacy format using init command. It has been done successfully as shown below; ℹ Creating blank nlp object for language 'en' ✔ Successfully converted 400873 ...
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Navdeep

nlp

nltk

spacy

fasttext

spacy-3

Votes: 0

Answers: 0

By what criteria do we find out that fasttext unsupervised is well trained?

I want to train unsupervised fasttext for word representation. To do this, I have install fasttext from official website, I read the word representation page, and I used model = fasttext.train_unsuper...
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Pouria Parhami

fasttext

Votes: 0

Answers: 1

Latest Answer

There's no one 'best' set of word-vectors: it always depends on your data & downstream goals. The 'loss' that's optimized, & reported, during FastText training is for the model's internal word...
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gojomo

Multioutput Classification model with FastText supervised classifier

Is there any way I can create a multioutput model with the fasttext python client and the sklearn MultiOutputClassifier object? I have multiple training datasets for each of the target columns. The ex...
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Martin Mashalov

python

machine-learning

scikit-learn

fasttext

Votes: 0

Answers: 0

Fasttext model representations for numbers

I would like to create a fasttext model for numbers. Is this a good approach? Use Case: I have a given number set of about 100.000 integer invoice-numbers. Our OCR sometimes creates false invoice-numb...
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AkionoWan

python

word-embedding

fasttext

Votes: 0

Answers: 1

Latest Answer

I doubt FastText is the right approach for this. Unlike in natural-languages, where word roots/prefixes/suffixes (character n-grams) can be hints to meaning, most invoice number schemes are just incre...
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gojomo

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