News ScanNER: Entity Tagging in News Headlines | Deep Learning Workshop Capstone

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Because news organizations produce hundreds of articles and stories every day, they run into many problems that can be addressed using named entity recognition (NER). NER tags, such as the names of people, organizations, and locations, can be used to tag text data from articles to create metadata for grouping articles, building recommendations, improving searches, and keeping up with trends. Our NER web app uses a BERT-based architecture to tag people, organizations, locations, and miscellaneous other entities. The web app also pulls and tags recent headlines from CNN’s API, highlighting the entities in each of CNN's main content categories.



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Tags:
deep learning
machine learning
ai
artificial intelligence
nlp
natural language processing
NER
named entity recognition
BERT
spaCy
LSTM
NLP
NLU
news
flask
docker
mlflow
mlops
huggingface
transformers
pytorch