Tag: nlp

Advanced, Cyber Security, Deep Learning, NLP, Project, Python, Semi-supervised, Technique, Text, Unstructured Data Leave a comment

An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing methods to develop robust defense against Neural Fake News, including using the GPT-2 detector model and Grover (AllenNLP) Every data science professional should be aware of what neural fake news is and how to combat it   Introduction Fake news is a major concern in our society right now. It has gone hand-in-hand with the rise […]

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Data Science, Intermediate, Machine Learning, NLP, Project, R Leave a comment

Measuring Audience Sentiments about Movies using Twitter and Text Analytics

Introduction The practice of using analytics to measure movie’s success is not a new phenomenon. Most of these predictive models are based on structured data with input variables such as Cost of Production, Genre of the Movie, Actor, Director, Production House, Marketing expenditure, no of distribution platforms, etc. However, with the advent of social media platforms, young demographics, digital media and the increasing adoption of platforms like Twitter, Facebook, etc to express views and opinions. Social Media has become a […]

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Advanced, Deep Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Introduction to Computational Linguistics and Dependency Trees in data science

Introduction In recent years, the amalgam of deep learning fundamentals with Natural Language Processing techniques has shown a great improvement in the information mining tasks on unstructured text data. The models are now able to recognize natural language and speech comparable to human levels. Despite such improvements, discrepancies in the results still exist as sometimes the information is coded very deep in the syntaxes and syntactic structures of the corpus. Example – Problem with Neural Networks For example, a conversation […]

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Algorithm, Intermediate, NLP, Python, Ranking, Technique, Text, Unstructured Data, Unsupervised Leave a comment

An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)

Introduction Text Summarization is one of those applications of Natural Language Processing (NLP) which is bound to have a huge impact on our lives. With growing digital media and ever growing publishing – who has the time to go through entire articles / documents / books to decide whether they are useful or not? Thankfully – this technology is already here. Have you come across the mobile app inshorts? It’s an innovative news app that converts news articles into a […]

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

Comprehensive Guide to Text Summarization using Deep Learning in Python

Introduction “I don’t want a full report, just give me a summary of the results”. I have often found myself in this situation – both in college as well as my professional life. We prepare a comprehensive report and the teacher/supervisor only has time to read the summary. Sounds familiar? Well, I decided to do something about it. Manually converting the report to a summarized version is too time taking, right? Could I lean on Natural Language Processing (NLP) techniques […]

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Advanced, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

A Comprehensive Guide to Build your own Language Model in Python!

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we are familiar with – Google Assistant, Siri, Amazon’s Alexa, etc. We will go from basic language models to advanced ones in Python here   Introduction We tend to look through language and not realize how much power language has. Language is such a powerful medium of communication. We have the ability to build projects from scratch […]

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Advanced, Classification, Deep Learning, Listicle, NLP Leave a comment

Top 6 Open Source Pretrained Models for Text Classification you should use

Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? What if a machine could improve my own writing skills? Could a robot interpret a sarcastic remark? I’m sure you’ve asked these questions before. Natural Language Processing (NLP) also aims to answer these questions, and I must say, there has been groundbreaking research done in this field towards bridging the gap between humans and machines. One […]

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Classification, Data Science, Intermediate, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

6 Practices to enhance the performance of a Text Classification Model

Introduction A few months back, I was working on creating a sentiment classifier for Twitter data. After trying the common approaches, I was still struggling to get good accuracy on the results. Text classification problems and algorithms have been around for a while now. They are widely used for Email Spam Filtering by the likes of Google and Yahoo, for conducting sentiment analysis of twitter data and automatic news categorization in google alerts. However, while dealing with enormous amount of text […]

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Classification, Data Science, Intermediate, NLP, Project, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)

Introduction E-commerce has revolutionized the way we shop. That phone you’ve been saving up to buy for months? It’s just a search and a few clicks away. Items are delivered within a matter of days (sometimes even the next day!). For online retailers, there are no constraints related to inventory management or space management They can sell as many different products as they want. Brick and mortar stores can keep only a limited number of products due to the finite space […]

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Deep Learning, Intermediate, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)

Introduction A common challenge I came across while learning Natural Language Processing (NLP) – can we build models for non-English languages? The answer has been no for quite a long time. Each language has its own grammatical patterns and linguistic nuances. And there just aren’t many datasets available in other languages. That’s where Stanford’s latest NLP library steps in – StanfordNLP. I could barely contain my excitement when I read the news last week. The authors claimed StanfordNLP could support more […]

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