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This article talks about how we can read web pages and extract current Bitcoin prices. Now, to perform this web scrapping, we need a few things: Website Web scrapping libraries/tools  Programming language Website This is the website from which we are going to read the price of Bitcoin. There are many websites, from which you can read this data but for this article, I'm using  CoinmarketcapDOTcom. Web Scraping Libraries/Tools There are many web scraping libraries and tools available in the market. Below is the list of my recommendations: Beautiful Soup Scrapy Requests (HTTP for humans) LXML Selenium If you want to know the brief of any of these, you can watch out my YouTube channel named Shweta Lodha.  For this article, I'm using  Requests  along with  Beautiful Soup . Programing Language This article uses Python as a programming language import requests from bs4 import BeautifulSoup as bs URL = "https://coinmarketcap.com

This article talks about an end-to-end flow, wherein an email content having specific subject line will be read, email body would be analyzed using Azure Cognitive Services (Sentiment analysis), analysis results would be saved in Azure Table Storage and finally chart would be drawn in Excel. All these steps include no coding at all. You can watch out the complete recording of this flow on my YouTube channel named Shweta Lodha.

This article explains the basics of NER (Named Entity Recognition) - PII (Personal Identifiable Information) and how it can be used to redact the sensitive/confidential information before passing it to next stage. It also includes code walk through and the Azure Text Analytics instance creation. Watch out this complete flow on my YouTube channel named Shweta Lodha.

In this article, I’m going to write about another interesting Azure-based service named  Translator , which falls under the umbrella of  Azure Cognitive Services . This service helps us to translate documents from one language to another and at the same time, it retains the formatting and the structure of the source document. So, let’s say, if any text in the source document is in italics, then the newly translated document, will also have the text in italics. Key Features of Translator Service Let’s have a look at a few of the key features, of the  Translator  service, Auto-detection of the language of the source document Translates large files Translates multiple files in a shot Preserves formatting of the source document Supports custom translations Supports custom glossaries Supported document types – pdf, csv, html/htm, doc/docx, msg, rtf, txt, etc. Implementation can be done using C#/Python as SDKs are available. Suppo

Today I'll be mentioning one of the useful functions of Azure Text Analytics - Sentiment Analysis. Azure text analytics is a cloud-based offering from Microsoft and it provides Natural Language Processing over raw text.  Use Case Described In this article, I will explain how to use customer-provided product reviews to understand the market insight and how one can take a call on manufacturing the products in the future. Here is the pictorial representation of this use case.   Here are the high-level steps of how we can achieve this entire flow: Step 1 This entire process starts with the data collection part and for this, I'm using a CSV file with customer-provided reviews. Here is the gist of it: Step 2 Once data is collected, we need to import the data and for that, I'm using Jupyter Notebook inside Visual Studio Code. Here is the Python code to read and extract data from CSV file: import csv feedbacks = [ ] counter = 0 with open ( 'Feedback.csv' ,