December 2, 2020 Advanced, NLP, Python, Social Media, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Summarize Twitter Live data using Pretrained NLP models

Introduction Twitter users spend an average of 4 minutes on social media Twitter. On an average of 1 minute, they read the same stuff. It shows that users spend around 25% of their time reading the same stuff. Also, most of the tweets will not appear on your dashboard. You may get to know the trending topics, but you miss not trending topics. In trending topics, you might only read the top 5 tweets and their comments. So, what are […]

December 2, 2020 Advanced, Deep Learning, NLP, Project, Python, Text, Unstructured Data, Unsupervised Leave a comment

Tired of Reading Long Articles? Text Summarization will make your task easier!

This article was published as a part of the Data Science Blogathon. Introduction Millions of web pages and websites exist on the Internet today. Going through a vast amount of content becomes very difficult to extract information on a certain topic. Google will filter the search results and give you the top ten search results, but often you are unable to find the right content that you need. There is a lot of redundant and overlapping data in the articles […]

November 27, 2020 Beginner, Data Cleaning, Libraries, NLP, Python, Text Leave a comment

A Quick Guide to Text Cleaning Using the nltk Library

This article was published as a part of the Data Science Blogathon. Introduction NLTK is a string processing library that takes strings as input. The output is in the form of either a string or lists of strings. This library provides a lot of algorithms that helps majorly in the learning purpose. One can compare among different variants of outputs. There are other libraries as well like spaCy, CoreNLP, PyNLPI, Polyglot. NLTK and spaCy are most widely used. Spacy works […]

November 26, 2020 Intermediate, NLP, Project, Python, Text Leave a comment

Words that matter! A Simple Guide to Keyword Extraction in Python

This article was published as a part of the Data Science Blogathon. Introduction Unstructured data contains a plethora of information. It is like energy when harnessed, will create high value for its stakeholders. A lot of work is already being done in this area by various companies. There is no doubt that the unstructured data is noisy and significant work has to be done to clean, analyze, and make them meaningful to use. This article talks about an area which […]

November 13, 2020 Advanced, Classification, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Fine-Grained Sentiment Analysis of Smartphone Review

How to conduct fine-grained sentiment analysis: Approaches and Tools Data collection and preparation. For data collection, we scraped the top 100 smartphone reviews from Amazon using python, selenium, and beautifulsoup library. If you don’t know how to use python and beautifulsoup and request a library for web-scraping here is a quick tutorial. Selenium Python bindings provide a simple API to write functional/acceptance tests using Selenium WebDriver. Let’s begin coding

November 10, 2020 Classification, Intermediate, Machine Learning, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Ultimate Guide to Understand and Implement Natural Language Processing (with codes in Python)

Overview Complete guide on natural language processing (NLP) in Python Learn various techniques for implementing NLP including parsing & text processing Understand how to use NLP for text feature engineering Introduction According to industry estimates, only 21% of the available data is present in structured form. Data is being generated as we speak, as we tweet, as we send messages on Whatsapp and in various other activities. Majority of this data exists in the textual form, which is highly unstructured […]

November 10, 2020 Classification, Core ML, Libraries, Machine Learning, NLP, Programming, Project, Python, Supervised, Swift, Text, Unstructured Data Leave a comment

How to build your first Machine Learning model on iPhone (Intro to Apple’s CoreML)

Introduction The data scientist in me is living a dream – I can see top tech companies coming out with products close to the area I work on. If you saw the recent Apple iPhone X launch event, iPhone X comes with some really cool features like FaceID, Animoji, Augmented Reality out of box, which use the power of machine learning. The hacker in me wanted to get my hands dirty and figure out what it takes to build a system like […]

November 10, 2020 Advanced, Deep Learning, Machine Learning, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

How to create a poet / writer using Deep Learning (Text Generation using Python)?

Introduction From short stories to writing 50,000 word novels, machines are churning out words like never before. There are tons of examples available on the web where developers have used machine learning to write pieces of text, and the results range from the absurd to delightfully funny. Thanks to major advancements in the field of Natural Language Processing (NLP), machines are able to understand the context and spin up tales all by themselves. […]

November 10, 2020 Classification, Intermediate, Machine Learning, NLP, Python, R, Supervised, Technique, Text, Unstructured Data Leave a comment

Complete tutorial on Text Classification using Conditional Random Fields Model (in Python)

Introduction The amount of text data being generated in the world is staggering. Google processes more than 40,000 searches EVERY second! According to a Forbes report, every single minute we send 16 million text messages and post 510,00 comments on Facebook. For a layman, it is difficult to even grasp the sheer magnitude of data out there? News sites and other online media alone generate tons of text content on an hourly basis. Analyzing patterns in that data can become […]

November 10, 2020 Libraries, NLP, Programming, Python, PyTorch, Sequence Modeling, Supervised, Technique, Text, Unstructured Data Leave a comment

Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code)

Overview We look at the latest state-of-the-art NLP library in this article called PyTorch-Transformers We will also implement PyTorch-Transformers in Python using popular NLP models like Google’s BERT and OpenAI’s GPT-2! This has the potential to revolutionize the landscape of NLP as we know it Introduction “NLP’s ImageNet moment has arrived.” – Sebastian Ruder Imagine having the power to build the Natural Language Processing (NLP) model that powers Google Translate. What if I told you this can be done […]

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