May 24, 2021 Beginner, Libraries, NLP, Python, Text, Unstructured Data

Top 8 Python Libraries For Natural Language Processing (NLP) in 2021

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is a field situated at the convergence of data science and Artificial Intelligence (AI) that – when reduced to the basics – is all about teaching machines how to comprehend human dialects and extract significance from the text. This is additionally why Artificial Intelligence is regularly essential for NLP projects. So what’s the reason, why many companies care about NLP? Basically in light […]

May 19, 2021 Deep Learning, Intermediate, NLP, Python, Unstructured Data

SMS Spam Detection Using LSTM – A Hands On Guide!

Introduction In today’s world, almost everyone is using a mobile phone and all of them will receive messages(SMS/ email) daily on their phone. But the main thing is that many of the received messages will be spam and only a few of them are ham or required messages. In this article, we are going to create an SMS spam detection model which will help you to find whether an SMS is spam or not using LSTM. About Dataset: Here we […]

May 17, 2021 Data Science, Intermediate, NLP, Python, Unstructured Data, Unsupervised

Build your own NLP based search engine Using BM25

Introduction Ever wondered how these search engines like Google and Yahoo work. And ever thought about how can they scan all through the internet and return relevant results in just About 5,43,00,000 results (0.004seconds). Well, they work on the concept of Crawling and Indexing. Crawling: Automated bots looks for pages that are new or updated. And stores the key information like — URL, title, keywords, and so on from the pages to be used later. Indexing: Data captured from crawling is analyzed […]

May 1, 2021 Advanced, Machine Learning, NLP, Python, Text, Topic Modeling, Unstructured Data

Topic Modelling in Natural Language Processing

Introduction Natural language processing is the processing of languages used in the system that exists in the library of nltk where this is processed to cut, extract and transform to new data so that we get good insights into it. It uses only the languages that exist in the library because NLP-related things exist there itself so it cannot understand the things beyond what is present in it. If you do processing on another language then you have to add […]

April 30, 2021 Advanced, Data Exploration, Data Visualization, NLP, Python, Text, Unstructured Data, Unsupervised

WhatsApp Group Chat Analysis using Python

Introduction Today one of the trendy social media platforms is…. guess what? One and only Whatsapp😅. It is one of the favorite social media platforms among all of us because of its attractive features. It has more than 2B users worldwide and “According to one survey an average user spends more than 195 minutes per week on WhatsApp”. How terrible the above statement is. Leave all these things and let’s understand what actually WhatsApp analyzer means? WhatsApp Analyzer means we […]

March 11, 2021 Advanced, NLP, Supervised, Text, Unstructured Data Leave a comment

A Hands-On Introduction to Hugging Face’s AutoNLP 101

Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New York, Hugging Face started out as a chatbot company with its primary focus today on the Transformers library and helping the developers integrate NLP into their own products or services. Hugging Face has made it incredibly easy for an individual to train their data on huge state-of-the-art models only with a couple of lines. Solving NLP, one commit […]

March 2, 2021 Advanced, NLP, Python, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Beginners Guide to Regular Expressions in Natural Language Processing

Introduction Regular Expressions is very popular among programmers and can be applied in many programming languages like Java, JS, php, C++, etc. Regular Expressions are useful for numerous practical day-to-day tasks that a data scientist encounters. It is one of the key concepts of Natural Language Processing that every NLP expert should be proficient in. Regular Expressions are used in various tasks such as data pre-processing, rule-based information mining systems, pattern matching, text feature engineering, web scraping, data extraction, etc. […]

February 22, 2021 Advanced, Classification, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Sentiment Analysis: VADER or TextBlob?

This article was published as a part of the Data Science Blogathon. What Is Sentiment Analysis? Conclusions are integral to practically all human exercises and are key influencers of our practices. Our convictions and impression of the real world, and the decisions we make, are, to an impressive degree, molded upon how others see and assess the world. Therefore, when we have to settle on a choice, we regularly search out the assessments of others. Opinions and their related concepts […]

February 22, 2021 Advanced, Classification, Deep Learning, NLP, Project, Python, Social Media, Supervised, Technique, Text, Unstructured Data Leave a comment

Sentiment Analysis: Predicting Sentiment Of COVID-19 Tweets

This article was published as a part of the Data Science Blogathon. Introduction Hi folks, I hope you are doing well in these difficult times! We all are going through the unprecedented time of the Corona Virus pandemic. Some people lost their lives, but many of us successfully defeated this new strain i.e. Covid-19. The virus was declared a pandemic by World Health Organization on 11th March 2020. This article will analyze various types of “Tweets” gathered during pandemic times. […]

February 13, 2021 Advanced, Classification, NLP, Project, R, Social Media, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R

This article was published as a part of the Data Science Blogathon. Introduction Coca-Cola and PepsiCo are well-established names in the soft drink industry with both in the fortune 500. The companies that own a wide spectrum of product lines in a highly competitive market have a fierce rivalry with each other and constantly competing for market share in almost all subsequent product verticals. We will analyze the sentiment of customers of these two companies with the help of 5000 […]

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