Posts about natural language processing (2)

Build a Named Entity Recognition (NER) ML model in hours

Named-entity recognition (NER) also known as entity extraction is a subtask of information extraction that aims to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, places, expressions of times, quantities, monetary values and more.

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What is Topic Modeling? An Introduction to Topic Modeling Use Cases

Imagine that you need to find a specific piece of information for your company, from a large collection of documents, within a tight deadline. It may be an important statistic or a crucial piece of information needed urgently. How much time do you think it will take for you to find that information from your company database? Looking for information within millions of documents will be like looking for a needle in a haystack. It will take a long time and the task will be practically impossible. This is where Machine learning and Topic modeling comes into place.

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When Do You Need AI Consulting?

There’s a lot of buzz about artificial intelligence (AI) and the many benefits it offers to the organizations that use it. Most recently, AI has been leveraged in the healthcare industry in response to the global pandemic for mapping, to accelerate diagnoses, and to predict health outcomes. Although the technology is not brand-new (it has been around since the 1950s), the concept of AI still feels inaccessible to many.

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Understanding 3 Types of Machine Learning Algorithms

Machines learn through algorithms—sets of rules or instructions—that allow them to continually improve through experience. In contrast to programming, which can tell a machine to do a specific task in the same way over and over, machine learning algorithms modify themselves over time based on the original goal set and previous results. 

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10 Benefits of Machine Learning in E-Commerce

No matter what types of products you sell, staying competitive in e-commerce requires constant attention across multiple departments. Sales teams need to know product details, marketing teams must be mindful of popular search terms, product teams must stay on top of trends, and IT teams are responsible for making sure the site is always functional and fast. All of this will always require a certain degree of time and skill, but some tasks, especially the most repetitive ones, can be better handled with machine learning. 

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Getting Started with Machine Learning: Using Browsing Patterns to Determine Buyer Intent

You can do a lot in the back end of a website to make it easier for customers to find products that will interest them. Manually tagging photos, putting products in multiple categories, and adding suggested alternatives are a few of the most common methods for enhancing the buyer’s experience on an e-commerce site. However, this approach has certain limitations, especially for e-commerce businesses that have large inventories or product selections that are continually updated by multiple users.

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Future of Artificial Intelligence in Legal

There was an experiment conducted in 2017 in London, with 100 lawyers participating in the event. The experiment involved finding accuracy in credit card irregularities in applications sent to the Finance Ombudsman. Where lawyers predicted an accuracy of 66.3%, a trained AI program achieved the accuracy of 86.6%.

Imagine a lawyer doing research for a case. Where humans may take weeks or even months to complete a particular research, AI will complete the research and provide results in a matter of seconds. Here, Artificial Intelligence will be able to perform better than experienced lawyers. 

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Personalization in B2B Ecommerce Using Machine Learning

From fashion to farming, every industry must adapt and reinvent. Businesses must make sure that they make the necessary changes to remain relevant. Thus, the need to apply Artificial Intelligence in daily processes becomes a necessity.

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10 E-commerce Personalization Examples for Optimal Conversions

The shift in consumer preferences and technological advancements is transforming the way people shop online. E-commerce businesses are using artificial intelligence to win over customer trust and loyalty through effective personalization. When there are plenty of products on offer, it’s highly important to showcase the right product to the right consumer.

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E-commerce Product Recommendations - A Simple To Understand Guide

As an e-commerce platform, don’t you feel your customers are spoilt for choice? Whether it be groceries, accessories, home decor, or anything under the sun, consumers are exposed to unlimited options. This makes the decision-making process relatively more complex. So how can you make your customer’s life easy? Of course, through AI-powered product recommendations, so that they finalize what to buy based on ‘what’s trending’, ‘‘top sellers’, etc. 

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