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Build a Plagiarism Checker Using Machine Learning

Plagiarism is rampant on the internet and in the classroom. With so much content out there, it’s sometimes hard to know when something has been plagiarized. Authors writing blog posts may want to check if someone has stolen their work and posted it elsewhere. Teachers may want to check students’ papers against other scholarly articles for copied work. News outlets may want to check if a content farm has stolen their news articles and claimed the content as its own.

So, how do we guard against plagiarism? Wouldn’t it be nice if we could have software do the heavy lifting for us? Using machine learning, we can build our own plagiarism checker that searches a vast database for stolen content. In this article, we’ll do exactly that.

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Linear Regression Model

Linear regression is a machine learning technique that is used to establish a relationship between a scalar response and one or more explanatory variables. The first scaler response is called a target or dependent variable while the explanatory variables are known as a response or independent variables. When more than one independent variable is used in the modeling technique we call it multiple linear regression.

Independent variables are known as explanatory variables as they can explain the factors that control the dependent variable along with the degree of the impact. This can also be calculated using ‘parameter estimates’ or ‘coefficients’.

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Emerging Trends That Will Define the Next 10 Years of Software Testing (Part 2)

As discussed in the previous blog, organizations are shifting toward an "Agile+DevOps" strategy for their SDLCs, which will be predominantly governed by automation tools. Many organizations embarked on their digital transformation journey in the last decade, but there were more failures than success. With advanced technology and better understanding, we can expect a more mature approach from leaders for navigating their organization to the desired digital heights.

In this blog, we'll pick up the baton from where we paused in the Part 1. While the first part of the blog talked about the trends that dominated the last decade and will influence the coming one, this blog will delve upon the next-generation technologies. Although the next-gen software testing technologies are still in a relatively nascent stage, they are expected to rule the roost for the upcoming decade.

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Why Is Innovation Not A Corporate Priority?

Innovation is supposed to be the most valuable currency in the tech industry right now, as executives strive to cope with the volatile times we find ourselves in. The popular and business press is awash with stories of digital disruption, with an overall impression created that only the most innovative can survive.

One would imagine, therefore, that innovation is a top priority for executives the world over. Except that doesn't appear to be the case, at least not according to a recent survey from Harvard Business School, which found that just 30% of the 5,000 or so executives the researchers quizzed put innovation in their top three concerns. The survey also revealed that just 21% believe technology trends was a pressing concern as well, leaving the two metrics ranked just 5th and 7th respectively.

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DevOps Gets More Exciting in 2019

As an overall solution for the IT industry, DevOps brought about the freest collaboration among various teams creating an end-to-end connection across the process chain. It enabled two entirely-different teams — Development and Operations – to work as a single unit for a productive output that is qualitative and faster than before.

DevOps has evolved a lot and has become the main focus in shaping the world of software for the last few years. Professionals say that DevOps is going to be the mainstream and its popularity is going to reach its peak point in 2019.