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Data Science and Python enthusiastic.
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Vader stands for Valence Aware Dictionary and sEntiment Reasoner. It is a lexicon and rule based tool for sentiment analysis. It is specifically attuned to sentiments expressed in social media.

It is used for analyzing the sentiment of text which contains both positive and negative polarity. The main function of VADER is to quantify how much of positive or negative emotion is present in the text. It can also measure the intensity of emotion.

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In recent times, it has become a trend to find the emotion behind a person’s words. Various companies are taking the customer feedback very seriously. They are using various machine learning algorithms to find the customer’s tone in their feedback. This method of finding the tone of one’s speech or feedback can be termed as emotion AI, opinion mining, or sentiment analysis.

Sentiment analysis is a powerful tool that can be used to understand the tone of a piece of writing. …

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Tired of reading the entire article and want to get the summary of it ? If you answered yes, then this story is for you. It would not be wrong to call Python as “Aladdin’s magic lamp” in programming world. Python has made programmers life easy.

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There are my important parts of a web application and File Handling is one of those. It can be defined as “storing of various data in a file or extracting the data stored in a file with the help of a program”. Unlike any other programming language, we can use python for file handling.

The implementation of file handling in other programming languages is very tedious and complicated, but why to fear when python is there. Unlike the other concepts, python makes file handling also easy for its users.


Speech recognition is also known as “Automatic Speech Recognition (ASR)”. It is the process of converting the human speech or words into text format so that a machine can understand the human language. Speech recognition is being used widely in various IoT devices like Alexa and Google Home. When a user asks any questions, then these devices take the user speech as an input and convert them to text and then this converted text is used by them to give the required answer.


Pickle module comes to our mind when we talk about “serialization” and “deserialization” in Python. So basically we use pickle module when a python object structure needs to be serialized or de-serialized.

We can save any of the python objects (like list, dictionary, or any trained model for prediction) on disk by pickling that object.

Before writing the object to a file, we serialize the object first by using pickle module.

We convert the python objects into character stream and this character stream contains all the necessary information required to recreate the python object into another python script. …

The COVID-19 has become a global calamity. The virus has not only affected large number of people around the globe but also become the reason for the economy to get derailed and it has affected the supply chain of world. Due to the outbreak of this virus every country has imposed lockdown and all the factories are closed in India. There has been a decline in the sales of non-essential goods due to the lockdown.

Smartphone sector is one of the major sectors affected by this global pandemic. There has been a decline in the rate of production of smartphones…

1. Introduction

Data Warehouse can be defined as the heart of Business Intelligence and it is used to analyze the heterogeneous data from various resources that are stored in it whereas Data Warehousing is the process of building and using the data warehouse. Various historical data are stored in the data warehouse and this data can be analyzed and can also be used to extract various useful insights from it. Data warehouse helps in enhancing the performance of an organization by analyzing the organizations data stored in the data warehouse. The heterogeneous data stored in the data warehouse is fetched…

What is Data Science?

Data science is the extraction of relevant insights from data. It uses various techniques from many fields like mathematics, machine learning, computer programming, statistical modeling, data engineering and visualization, pattern recognition and learning, uncertainty modeling.

What is Data Science Pipeline?

Data science pipelines are sequences of processing and analysis steps applied to data for a specific purpose. It is useful in production projects, and it can also be useful if one expects to encounter the same type of business analysis.


Import Data: - The most important thing is to obtain the data, so gather all…

Praffulla Dubey

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