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November 12, 2021

ML Algorithms in Online User Reviews for Sentiment Analysis

The online ecosystem is designed to be open for live interactions. Online users can indulge in immersive web pages, engage in social conversations, and post online reviews. Web platforms are built to encourage users to post opinions without restrictions. This has stretched the scope for building several meaningful digital experiences in the web ecosystem.

Online products and services get positive and, every now and then, negative reviews. A fair amount of scrutinizing behavior by users can be spotted on most online platforms. Heaps of reviews are posted online by users on marketplaces, community web pages, and social media pages. The growing volume of user review data, especially that causes damage to a company’s online reputation, requires efficient management. This has pushed companies to monitor what users write about the products and the services across the web and adopt the methodologies of sentiment analysis.

October 8, 2019

Introduction to Classification Algorithms

Say hello to classification algorithms!

The idea of Classification Algorithms is pretty simple. You predict the target class by analyzing the training dataset. This is one of the most — if not the most essential — concepts you study when you learn data science.

You might also like: Top Machine Learning Algorithms You Should Know to Become a Data Scientist

What Is Classification?

We use the training dataset to get better boundary conditions that could be used to determine each target class. Once the boundary conditions are determined, the next task is to predict the target class. The whole process is known as classification.

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