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

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. How to evaluate them?

NLP 52

NLP Neural Network Natural Language Processing Data Scientist 52

Unite.AI

FEBRUARY 19, 2024

Central to deep learning is the ML-based Neural Network algorithms, which have dramatically revolutionized the decision-making process at discrete data points on a quantum scale. It penetrates the big data—data input that is voluminous, scattered, and incomplete.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

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

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 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

Bitext

SEPTEMBER 17, 2021

Recapping, the main limitation of Machine Learning for text analytics is that it is “blind” to text structure. And text structure is essential for moving towards text understanding. This is the first benefit Linguistics provides to data sicentists.

Machine Learning 52

Machine Learning Big Data Text Analytics Chatbots 52

Pickl AI

JULY 23, 2023

While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type. Big Data Big data refers to vast volumes of information that exceed the processing capabilities of traditional databases.

Data Analysis 52

Data Analysis Explainability Algorithm Natural Language Processing 52