Remove 2013 Remove Convolutional Neural Networks Remove NLP
article thumbnail

AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

With the rapid development of Convolutional Neural Networks (CNNs) , deep learning became the new method of choice for emotion analysis tasks. Generally, the classifiers used for AI emotion recognition are based on Support Vector Machines (SVM) or Convolutional Neural Networks (CNN).

article thumbnail

ML and NLP Research Highlights of 2020

Sebastian Ruder

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP). This is less of a problem in NLP where unsupervised pre-training involves classification over thousands of word types.

NLP 52
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

I was out of the neural net biz. Fast-forward a couple of decades: I was (and still am) working at Lexalytics, a text-analytics company that has a comprehensive NLP stack developed over many years. The CNN was a 6-layer neural net with 132 convolution kernels and (don’t laugh!) Hinton (again!) and BERT.

article thumbnail

Multi-Modal Methods: Image Captioning (From Translation to Attention)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Attention and Augmented Recurrent Neural Networks. In: Daniilidis K.,

article thumbnail

Major trends in NLP: a review of 20 years of ACL research

NLP People

We took the opportunity to review major research trends in the animated NLP space and formulate some implications from the business perspective. The article is backed by a statistical and – guess what – NLP-based analysis of ACL papers from the last 20 years. Neural Networks are the workhorse of Deep Learning (cf.

NLP 52
article thumbnail

The 11 Top AI Influencers to Watch in 2024 (Guide)

Viso.ai

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Thus, positioning him as one of the top AI influencers in the world.

article thumbnail

Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!