Unite.AI

FEBRUARY 19, 2024

AI and ML Training Algorithms at Atomic-Level for Deep ‘Learning’ & ‘Thinking’ Between junctions of every workflow, decision-making is happening at a granular level, where software robots profile strings of structured and unstructured data in high volume to orchestrate automation across business processes.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

ODSC - Open Data Science

MAY 24, 2023

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. Challenges and lessons learned in a real use case in banking ,” there!

NLP 52

NLP Neural Network Natural Language Processing Data Scientist 52

NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection. University of St. Gallen The University of St.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Convolutional Neural Networks 134

Convolutional Neural Networks Data Mining Categorization Machine Learning 134

Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. 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.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52