Rusty  Shanahan

Rusty Shanahan

1597724520

Why Your Company Should Care About Named Entity Recognition

Named entity recognition is the task of categorizing text into entities, such as people, locations, and dates. For example, for the sentence, On April 30, 1789, George Washington was inaugurated as the first president of the United States , this sentence may be tagged with the following entities:

Image for post

Image from Zach Monge

You might be thinking, okay exactly how is this useful? Well, there are many potential uses of named entity recognition, but one is being able to make a database easily searchable. You might be thinking, why would I need to tag entities to make a database easily searchable? Can’t I just use a simple dictionary lookup to exactly match terms? Well, yes, you can, but this is far from ideal and just to show you how ineffective searches can be without named entity recognition, let’s walk through a real life example.

Example

Recently I was ordering food at my local grocery store, Weis Markets, and was trying to add to my cart Perdue frozen chicken fingers. So I typed into the search bar:

Image for post

Image taken by Zach Monge From Weis Markets

To my disappointment, my search did not yield any results:

Image for post

Image taken by Zach Monge From Weis Markets

At first I thought they may have been out of stock, but after searching for several other items, I kept getting no results. After awhile, I started to suspect that Weis’s search engine was only able to find search terms that almost exactly matched the product label (Note: I do not actually know the machinery behind Weis’s search engine). So I looked up on Google what the chicken fingers I wanted were exactly called and I realized they are called chicken tenders not fingers (of course!). So I typed perdue chicken tenders into the search box and it worked! I was then successfully able to add the chicken fingers to my cart.

#machine-learning #named-entity-recognition #data-science #search-engine-marketing #nlp #deep learning

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Why Your Company Should Care About Named Entity Recognition
Rusty  Shanahan

Rusty Shanahan

1597724520

Why Your Company Should Care About Named Entity Recognition

Named entity recognition is the task of categorizing text into entities, such as people, locations, and dates. For example, for the sentence, On April 30, 1789, George Washington was inaugurated as the first president of the United States , this sentence may be tagged with the following entities:

Image for post

Image from Zach Monge

You might be thinking, okay exactly how is this useful? Well, there are many potential uses of named entity recognition, but one is being able to make a database easily searchable. You might be thinking, why would I need to tag entities to make a database easily searchable? Can’t I just use a simple dictionary lookup to exactly match terms? Well, yes, you can, but this is far from ideal and just to show you how ineffective searches can be without named entity recognition, let’s walk through a real life example.

Example

Recently I was ordering food at my local grocery store, Weis Markets, and was trying to add to my cart Perdue frozen chicken fingers. So I typed into the search bar:

Image for post

Image taken by Zach Monge From Weis Markets

To my disappointment, my search did not yield any results:

Image for post

Image taken by Zach Monge From Weis Markets

At first I thought they may have been out of stock, but after searching for several other items, I kept getting no results. After awhile, I started to suspect that Weis’s search engine was only able to find search terms that almost exactly matched the product label (Note: I do not actually know the machinery behind Weis’s search engine). So I looked up on Google what the chicken fingers I wanted were exactly called and I realized they are called chicken tenders not fingers (of course!). So I typed perdue chicken tenders into the search box and it worked! I was then successfully able to add the chicken fingers to my cart.

#machine-learning #named-entity-recognition #data-science #search-engine-marketing #nlp #deep learning

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ROI-Driven Software Development Company
‘Leave no stone unturned’ is the prime mover of Tvisha Technologies, an ISO certified mobile app and software companies in hyderabad in devising cutting-edge strategies. Empowered by 18+ years of experience, our MNC company has gained worldwide attention for its several historical milestones. The technocrats here adopt and implement new technologies as soon as they arrived. They work as there is no tomorrow that helps them deliver fast-track IT solutions.

Moreover, Commitment throughout the sprints, Transparency in the communication, and Timely delivery even for complex projects are three main reasons that make us recognized as one of the top software companies in Hyderabad. Our engineering professionals capture the business idea of clients in the first time of consultation itself and transform their business requirements into ready-to-use software. Throughout the execution of projects, all the teams of designers and developers will be on the same line to deliver high-quality products. And they keep clients informed on the status of the project through daily reports and work until they satisfy. This makes our IT company own clients’ appreciation, trust, and loyalty.

Now, for many businesses from startups to SMEs, we have become a fountainhead for delivering various top-notch mobile & web applications and robust software for variegated fields. All these make us listed in Goodfirms, Clutch, itfirms, Top developers, appfutura, etc. that results in recognized us as one of the top IT companies in India

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August  Larson

August Larson

1624286640

Superior Person Name Recognition with Pre-Built Google BERT

When base spaCy needs a lift

Using spaCy for named entity recognition works well, but not in every situation, especially when it comes to person names. However, thanks to Hugging Face you can use Google BERT models as an ML engineer (not as a data scientist), to easily increase person NER accuracy.

DISCLAIMER: spaCy can incorporate techniques similar to what I’m about to describe, so don’t count spaCy out, this article is simply an alternative method of incorporate the technique.

A Few Words on BERT and Hugging Face

Hugging Face describes itself as a community where we can “Build, train and deploy state of the art models powered by the reference open source in natural language processing.”

It’s a place to build models or use models others build — this last bit is especially important.

Google BERT (Bidirectional Encoder Representations from Transformers) is, without getting distracted by how it works, a Google-created technique for NLP. Check out this piece by the BERT architects, which digs a little bit into how BERT works. The short version is that models built using Google BERT work well. Yes, I know, that’s a ridiculous oversimplification but this article is about using BERT, not creating BERT-based models.

#python-programming #python #nlp #named-entity-recognition #superior person name recognition with pre-built google bert