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Chatbot for eCommerce

There are various scenarios that chatbots cover these days, for example, customer support which I wrote an article about it before, you can find it here. In this article, you will learn about how a chatbot reply to a search message.

The use case scenario is when a user is looking for an item and requests that via a chatbot on your website or mobile app. Then chatbot parses the message and based on the keyword, replies to the user with a search result in which the user can choose one of the items.

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Chatbot for Customer Support

These days there are many use cases for conversational AI. Conversational AI refers to the use of messaging apps, speech-based assistants, and chatbots to automate communication and create personalized customer experiences at scale. In this article, you will learn about the chatbot.

In the following project, we go through implementing a chatbot using Java and Apache OpenNLP.

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A Clinical Decision Support System Built With a Knowledge Graph

Debrief from a Grakn Community talk — featuring Alessia Basadonne, executive PHD candidate from University of Pavia and Medas Italy. This talk was delivered live at Grakn Cosmos 2020 in London, UK.

“From when I was very very little, I always dreamed of developing crazy ideas and making them a reality.”

Alessia’s current work is in developing a Clinical Decision Support System (CDSS). This isn’t a new concept as she highlights, but one with a lot of opportunity for improvements and developments. So…

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Why You Can’t Have a Real Conversation With Your Chatbot

Sure, we can ask Siri or Alexa to answer a question or perform an action for us.  But Siri and Alexa can only respond to pre-programmed questions and commands.  (You can find a detailed explanation of how personal assistants work here).  They do not really understand what you are saying, and you cannot have a real conversation with a personal assistant like you can with another person.

Three-year-old children understand language. We have computers that can beat chess champions. Why is building computer systems that understand natural language so difficult?  (Natural languages are the languages that people speak as opposed to computer languages).

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5 NLP Trends to Watch in 2021

Although still in its infancy, 2020 has been a year of significant growth for Natural Language Processing (NLP). In fact, research from Gradient Flow found that even in the wake of the COVID-19 pandemic, 53% of technical leaders indicated their NLP budget was at least 10% higher compared to 2019, with 31% stating their budget was at least 30% higher than the previous year. This is quite significant, given most companies are experiencing a downturn in IT budgets, as companies adjusted their spending in response to the pandemic. 

With the power to help streamline and even automate tasks across industries, from finance and healthcare to retail and sales, leaders are just beginning to reap the benefits of NLP. As the technology advances further and its value becomes more widely known, NLP can achieve outcomes from handling customer service queries to more mission-critical tasks, like detecting and preventing adverse drug events in a clinical setting. As NLP continues on its growth trajectory, here are some of the top trends to watch in 2021. 

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NLP Libraries for Node.js and JavaScript

What Is Natural Language Processing (NLP)?

Natural language refers to the way humans communicate with each other.

Natural Language Processing (NLP) is broadly defined as the electronic manipulation of natural language, like speech and text, by software.

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NLTK Hello World Python Example

In this post, you will learn about getting started with natural language processing (NLP) with (Natural Language Toolkit), a platform to work with human languages using Python language. The post is titled hello world because it helps you get started with NLTK while also learning some important aspects of processing language. In this post, the following will be covered:

  • Install/Set up NLTK
  • Common NLTK commands for language processing operations

Install/Set up NLTK

This is what you need to do set up NLTK.

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Top 10 APIs for Natural Language Processing

Natural Language Processing, or NLP, is a branch of artificial intelligence that focuses on how computers learn, analyze and understand human languages. NLP software can give applications the ability to understand nuances of human language, such as semantics, linguistics, and definitions of words and phrases.

Developers wishing to create applications that better understand humans need the proper Application Programming Interfaces, or APIs, to enhance their applications.

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How E-Commerce Businesses Use AI to Improve the Online Shopping Experience

Online shopping is on the rise as it’s convenient to shop from home and get products delivered. According to NPR, 92 percent of American consumers make purchases through ecommerce, and that number is only increasing. 

When it comes to online shopping, consumers have high expectations about how their experience should be. They’re looking for quick, easy solutions to their problems from brands who care about their buying motives. 

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2 Things You Need to Know About Reinforcement Learning: Computational and Sample Efficiency

The High Cost of Deep Learning

Have you ever put on a sweater because the air conditioning was too cold? Forgotten to turn off the lights in another room before heading to bed? Do you commute to work more than 30 minutes every day just for the sake of “filling seats” at the office, even though everything you do at work could be done via laptop from home? 

In the counter-intuitive trade-offs between sample and computational efficiency in Reinforcement Learning, choosing evolution strategies can be smarter than it looks.

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6 Free Data Mining and Machine Learning eBooks

It feels like we’ve been saying "this has been the year of artificial intelligence" for the last half a decade or so. But, as the decade reaches its conclusion, it’s undoubtedly the case that if you had to characterize the changes — social, commercial, political — the world has undergone over the last 10 years, the big data boom and artificial intelligence would be the key technology trends.  

The spotlight is generally on the ripple effects of these technologies; very rarely is it on the people and processes through which these technologies are built and deployed. That’s a shame because if we did we’d have a much greater sense of the opportunities open to us — whether that’s from a personal career perspective or a business one, we’d start to see that we’re still very far from mass adoption and usage. These are trends that remain in the hands of the largest companies with the most money to spend.  

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Exploring NLP concepts using Apache OpenNLP inside a Java-enabled Jupyter notebook

Introduction

I have been exploring and playing around with the Apache OpenNLP library after a bit of convincing. For those who are not aware of it, it’s an Apache project, supporters of F/OSS Java projects for the last two decades or so. I found their command line interface pretty simple to use, and it is a great learning tool for beginning to work with Natural Language Processing (NLP).

To preface this article, make sure that you're familiar with Jupyter Notebooks. If you are not, have a look at this video these articles: [1] or [2]. For using the CLI, I’ll refer you to this post.

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Make Database Queries With Real-Time Chat

Bouquet.ai

We had the opportunity to meet with Adrien Schmidt, CEO and Co-founder of Bouquet.ai during the IT Press Tour in San Francisco. Adrien started building Aristotle, with Natural Language Processing (NLP) for analytics, in 2017, to make data and insights available for people on the frontline of an organization given their need for speed and data at the edge of the organization (e.g. a CSR on the phone with a customer or an airline ticket agent at the airport with a passenger).

You may also like:  5 Reasons Why Your Chatbot Needs Natural Language Processing

People are the edge want an answer to their question — a number, a growth rate, not a graph. You need the answer to your question to make data worthwhile. Adrien does not want users to have to interpret results since they just want an answer to their question.

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Scriptless Testing Is Not Just Record and Playback: Top 10 Scriptless Testing Approaches

Scriptless testing is bigger than just the push of a button.

In traditional software development, testing professionals manually tested the developed software but the need to test redundant scenarios necessitated the use of testing tools that would allow them to execute the same tasks automatically.

The benefit of automated testing was a reduced time to test legacy test scenarios, while the downside was that test automation involved the use of scripts. Testers needed to either learn the supported languages for automation testing or hire new resources who knew to code.

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4 Business Applications for Natural Language Processing

4 business applications for NLP.

Natural language processing (NLP) is a type of artificial intelligence (AI) that deals with the interaction between humans using natural language and computers. Simply speaking, it’s technology that helps computers understand people’s natural language. It’s not just about picking out a few specific words and spouting out a generalized answer either. Rather, NLP can comprehend meaning and context and provide automated support with a personal touch.

Natural language processing and artificial intelligence were once technologies only available to mega-corporations. But now, small businesses can use NLP and AI to their advantage too. So, are you wondering how you can use NLP to improve the customer experience, streamline processes, and even generate sales?

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Everything You Need to Know About Building an OCR Scanner From Scratch

Optical Character Recognition (OCR) tools have come a long way since their introduction in the early 1990s. The ability of OCR software to convert different types of documents such as PDFs, files, or images into editable and easily storable format has made corporate tasks effortless. Not only this, but it’s ability to decipher a variety of languages and symbols gives Infrrd OCR Scanner an edge over ordinary scanners.

However, building a technology like this isn’t a cakewalk. It requires an understanding of machine learning and computer vision algorithms. The main challenge one can face is identifying each character and word. So in order to tackle this problem we’re listing some of the steps through which building an OCR scanner will become much more clearer. Here we go:

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Image Recognition for Product and Shelf Monitoring and Analysis

With the e-commerce boom, entrepreneurs have learned that conventional strategies of visual merchandising or sales promotions won’t be able to sustain profits in the cutthroat CPG industry. Many retailers are already implementing AI and image recognition to deliver the next level of customer experience, bringing the dawn of a new era for the retail industry. According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI. Product discovery, product recommendations, and trend analysis are some areas for the implementation of computer vision and image recognition. This article elaborates on how image recognition can be implemented by retail and CPG companies.

1. Auditing Product Placement

Customers are making key buying decisions at store shelves and companies have to use technology to stay ahead of the fierce competition or face extinction. Gathering key consumer information helps companies understand their needs better. Shelf recognition using computer vision digitizes store checks and is important in gathering key consumer information through AI. 

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Knowledge Graphs and NLP. The Year of the Graph Newsletter: July/August 2019

Pinterest gets with the knowledge graph program. Facebook releases a new dataset for conversational Reasoning over Knowledge Graphs. Connected Data London announces its own program, rich in leaders and innovators.

And as always, new knowledge graph and graph database releases, research, use cases, and definitions. A double bill summertime newsletter edition, making your knowledge graph living easy.