Questions tagged [fasttext]

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How to interpret feature importance in text classification using Fasttext?

Once the text is converted into a vector of size(1,100), how can we interpret and backtrace a word's importance which helped in classification?
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1answer
34 views

Pre-trained models for finding similar word n-grams

Are there any pre-trained models for finding similar word n-grams, where n>1? FastText, for instance, seems to work only on unigrams: ...
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Initializing weights that are a pointwise product of multiple variables

In two-layer perceptrons that slide across words of text, such as word2vec and fastText, hidden layer heights may be a product of two random variables such as positional embeddings and word embeddings ...
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1answer
31 views

Keep word2vexc/fasttext model loaded in memory without using API

I have to use Fasttext model to return word embeddings. In test I was calling it through API. Since there are too many words to compute embeddings, API call seems to be expensive. I would like to use ...
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105 views

Explain FastText model using SHAP values

I have trained fastText model and some fully connected network build on its embeddings. I figured out how to use Lime on it: complete example can be found in Natural Language Processing Is Fun Part 3: ...
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0answers
65 views

Extracting vectors of FastText own model to use it on a NN

I have trained my own model of fasttext using the pretrained model of English available on their website with the next code: ...
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1answer
75 views

FastText Model Explained

I was reading the FastText paper and I have a few questions about the model used for classification. Since I am not from NLP background, some I am unfamiliar with the jargon. In the figure, what ...
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0answers
43 views

Removing duplicate records before training

I am currently working on a project classifying text into classes. The specific problem is classifying job titles into various industry codes. For example "McDonalds Employee" might get classified to ...