GraphAware Blog - NER

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Hume in Space: Monitoring Satellite Technology Markets with a ML-powered Knowledge Graph

15 Apr 2020 by Vlasta Kůs NLP Knowledge Graph NER ERE Hume

Hume in Space: Monitoring Satellite Technology Markets with a ML-powered Knowledge Graph

Everyone has a passion for something. Be it music, politics, sports, coffee or … pancakes. Such passion makes you strive for new information, for understanding of the current trends. Take pancakes: you might watch for new recipes on your favourite website, you might look at cooking shows or youtube videos to get more inspiration about how to serve them … but overall, you can probably handle this pretty well. It’s not like there is much room for revolutionising the pancake recipe.Imagine a different context: let’s say that your passion is not limited to your kitchen, but reaches from the ground...

Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom

26 Sep 2018 by Dr. Alessandro Negro, Dr. Vlasta Kůs NLP Knowledge Graph Sentiment Analysis word2vec NER

Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing countless facts, observations, perspectives and insights that could make or break your business.The data, in its native form, is completely useless because it doesn’t provide any value. It is sparse, distributed and unstructured – it is chaotic.To make sense of the data, we have to transform and organize it – a process that produces information. However, for the information to...

Deep text understanding combining Graph Models, Named Entity Recognition and Word2Vec

10 Sep 2018 by Dr. Vlasta Kůs, Dr. Alessandro Negro word2vec NLP NER Knowledge Graph

One of the key components of Information Extraction (IE) and Knowledge Discovery (KD) is Named Entity Recognition, which is a machine learning technique that provides us with generalization capabilities based on lexical and contextual information. Named Entities are specific language elements that belong to certain predefined categories, such as persons names, locations, organizations, chemical elements or names of space missions. They are not easy to find and subsequently classify (for example, organizations and space missions share similar formatting and sometimes even context), but having them is of significant help for various tasks: improving search capabilities relating documents among themselves or...