Cracking the Code of Context: Word Vectorization Techniques in NLP
Author(s): Abhijith S Babu Originally published on Towards AI. You moved to a new town far from your country, where you happened to bump into someone in a coffee shop. A young woman around your age and instantly, you both were engaged …
Sentiments Analysis of Financial News as an Indicator for Amazon Stock Price
Author(s): Jay M. Patel Originally published on Towards AI. Natural Language Processing We will perform sentiments analysis using a News API for predicting Amazon (AMZN) stock price using Python Sentiments analysis of news has become one of the most robust ways of …
Is it possible to do Text Classification on unlabeled data? (Feat. Zero-Shot Classification) [Experiment]
Author(s): Ala Alam Falaki Originally published on Towards AI. Photo by Markus Spiske on Unsplash A couple of months ago, I did an experiment to answer the question: Is it possible to do sentiment analysis if we do not have the target …
Summarizing A.I. Articles using A.I. (What else??)
Author(s): Jair Ribeiro Originally published on Towards AI. This is how Iβm using Artificial Intelligence to summarize my favorite articles aboutβ¦ Artificial Intelligence and build a weekly newsletter. I read an endless number of articles every week about A.I., and I believe …
Using AI to control AI: How to Prevent Creating Biased Datasets
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. What are labels? In the last few days, MIT took down a cited 80 million tiny images 32×32 size because it contained labels (if you do not know what it means, I will clarify …
How To Train a Seq2Seq Summarization Model Using βBERTβ as Both Encoder and Decoder!! (BERT2BERT)
Author(s): Ala Alam Falaki Originally published on Towards AI. BERT is a well-known and powerful pre-trained βencoderβ model. Letβs see how we can use it as a βdecoderβ to form an encoder-decoder architecture. Photo by Aaron Burden on Unsplash The Transformer architecture …
A Comprehensive Guide For Text Classification using PySpark MLlib
Author(s): Himanshu Tripathi Originally published on Towards AI. Introduction Have you ever wondered if you ever post something on social media websites that goes against their community standard, how can they identify it and perform appropriate action on that? Well, the idea …
How To Do Effective Paraphrasing Using Huggingface and Diverse Beam Search? (T5, Pegasus,β¦)
Author(s): Ala Alam Falaki Originally published on Towards AI. The available paraphrasing models usually donβt perform as advertised. However, some techniques can help you easily get the most out of them. Photo by Glen Carrie on Unsplash Have you ever tried one …
An Improved Gpt-3 Is Ready for Use: How Good Is It?
Author(s): LucianoSphere Originally published on Towards AI. Excellent for a variety of applications, such as making up stories and poems, but not reliable enough for applications involving true knowledge. Photo by Alex Shute on Unsplash OpenAI just released some new flavors of …
Galactica: How to (Responsibly) Use the Controversial Language Model Everyone Is Talking About
Author(s): Federico Peccia Originally published on Towards AI. Articles and papers generation Photo by Annie Spratt on Unsplash Perhaps you already read a lot of articles about Galactica, the language model released in November by MetaAI. In the original paper, the authors …