GitHub - rndae/NER_product_model_name: BI-LSTM-CRF model to recognize brand and model names in product titles. The data to train and test the program was taken from the Amazon Berkeley Object dataset. Achieved high f-1 scores with Flair and spaCy for non-overlapping listings.

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BI-LSTM-CRF model to recognize brand and model names in product titles. The data to train and test the program was taken from the Amazon Berkeley Object dataset. Achieved high f-1 scores with Flair and spaCy for non-overlapping listings.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commits
data/flair/bio		data/flair/bio
embeddings		embeddings
flair-ner-amazon		flair-ner-amazon
ner_amazon_embedding		ner_amazon_embedding
spacy_embeddings		spacy_embeddings
amazon_data.csv		amazon_data.csv
clean data.ipynb		clean data.ipynb
data_bio_shuffled.csv		data_bio_shuffled.csv
data_bio_shuffled_2.csv		data_bio_shuffled_2.csv
dataset converter.ipynb		dataset converter.ipynb
dev.json		dev.json
dev_shuffle.spacy		dev_shuffle.spacy
embeddings for spacy.ipynb		embeddings for spacy.ipynb
flair model.ipynb		flair model.ipynb
spacy model.ipynb		spacy model.ipynb
test.json		test.json
test_shuffle.csv		test_shuffle.csv
test_shuffle.spacy		test_shuffle.spacy
train.json		train.json
train_shuffle.csv		train_shuffle.csv
train_shuffle.spacy		train_shuffle.spacy