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Which NLP Task Does NOT Benefit From Pre-trained Language Models?
Author(s): Nate Bush There is such a long history of pre-trained general language representation models with a massive impact that we take for granted that they are a completely 100% necessary foundation for all NLP tasks. There were two separate step function …
Simple Text Classifier With Basic Machine Learning Model
Author(s): Md. Zubair Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale …
Simple, Good Sentiment Classification
Author(s): Pratish Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI …
Deep Learning Sentiment Analysis of Donald Trump’s Tweets
Author(s): Edwin Tan Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale …
Understanding Semantic Analysis Using Python — NLP
Author(s): Towards AI Team How do machines understand our language? This tutorial dives into semantic analysis, a crucial area of natural language processing (NLP) Continue reading on Towards AI » Published via Towards AI …
Natural Language in Search Engine Optimization (SEO) — How, What, When, And Why
Author(s): Buse Yaren Tekin Search-engine-optimization (SEO) screenshot of one of our clients at Best Marketing | All images are from the author(s) unless stated otherwise. Search engine optimization (SEO) is a beautiful combination of mathematics and semantics. How does natural language influence it? …
NLP using Deep Learning Tutorials : Understand Loss Function
Author(s): Abdelkader Rhouati This article is a part of a series that I’m writing, and where I will try to address the topic of using Deep Learning in NLP. First of all… Continue reading on Towards AI » Published via Towards AI …
Here’s How Good GPT-3 Fares As A Creative Writer
Author(s): keypressingmonkey It is honestly quite frightening Continue reading on Towards AI » Published via Towards AI …
NLP-Aided Systematic Literature Review: Why It’s Needed and How It Works
Author(s): Gaugarin Oliver Natural Language Processing Answering a specific, clearly defined research question from the massive amount of healthcare-related scholarly and clinical literature in existence can be extremely challenging. Yet that’s precisely the goal of systematic literature reviews (SLRs) in health care, …
NLP using Deep Learning Tutorials: Understand the Activation Function
Author(s): Abdelkader Rhouati This article is a first of a series that I’m writing, and where I will try to address the topic of using Deep Learning in NLP. First of… Continue reading on Towards AI » Published via Towards AI …
Unraveling Coreference Resolution in NLP!
Author(s): Ananya Banerjee Natural Language Processing Unraveling Coreference Resolution in NLP! Coreference Resolution Coreference Resolution is one of the most essential Natural Language Processing (NLP) tasks. But, before we begin to understand Coreference Resolution, it is essential to understand the definition of discourse. …
AI Copy Assistant Powered by GPT-3
Author(s): Shubham Saboo Natural Language Processing Generate creatively crafted professional marketing copies in minutes by leveraging the world’s most advanced language model. Good ideas don’t require lots of other people to make them happen — GPT-3 version of Naval Ravikant Pre-Requisites I have collected the dots …
Speech to Text with Wav2Vec 2.0
Author(s): Dhilip Subramanian Speech to Text Continue reading on Towards AI » Published via Towards AI …
Summarizing News by Abstractive Approach
Author(s): Edward Ma Natural Language Processing Abstractive Summarization In NLP, there are two approaches to do the text summarization. The first one, the extractive approach, is a simple approach that is extracting keywords or sentences from an article. There are some limitations …
Sentiment Analysis with Logistic Regression
Author(s): Buse Yaren Tekin Natural Language Processing Photo by Markus Spiske on Unsplash 📌 Logistic Regression is a classification that serves to solve the binary classification problem. The result is usually defined as 0 or 1 in the models with a double situation. …
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