Need to extract useful data from different websites? Hop-On.

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What is Web Scraping?

Web Scraping is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.

Why Web Scraping is important?

Web Scraping helps you to get the data that you want from the Web. These data are extracted from millions of URLs based on your requirement. These data play a vital role in key decision making in their business. These data will be used based on their needs. The data can be used to determine dynamic pricing. …

Real-time web chat application.

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In this article, I’ll be showing you how to build a web chat application using React, Express,, and Node.js.

The motive behind this application:

Join. Chat. Leave. No Records.

Let’s start with the definition of a chat application.

Chat App is a software that enables the messages to be sent and received between different clients ( or users ).

Before diving into the chat application, we must understand the basic concepts and frameworks behind the same which are React,, express.js, and Node.js.

What is React?

React is an open-source JavaScript library for building user interfaces or UI components. It is maintained by Facebook and a community of individual developers and companies. React can be used as a base in the development of single-page or mobile applications.

Analyzing the level of positivity of tweets

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Photo by MORAN on Unsplash

In this article, we’ll show you how to classify a tweet into either positive or negative, using two famous machine learning algorithms: Naive Bayes and N-Gram.

First, what is sentiment analysis?

Sentiment analysis is the automated process of analyzing text data and sorting it into sentiments positive, negative, or neutral. Using sentiment analysis tools to analyze opinions in Twitter data can help companies understand how people are talking about their brand.

Now that you know what sentiment analysis is, let’s start coding.

We have divided the whole program into three parts:

  • Importing the datasets
  • Preprocessing of datasets
  • Applying machine learning…


Siddharth Singh

System Engineer Specialist at Infosys

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