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.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

NLP People

APRIL 10, 2019

While ETH does not have a Linguistics department, its Data Analytics Lab , lead by Thomas Hofmann , focuses on topics in machine learning, natural language processing and understanding, data mining and information retrieval. University of St. Gallen The University of St.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

Lexalytics

APRIL 5, 2021

This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas. (I Around this time a new graduate student, Geoffrey Hinton, decided that he would study the now discredited field of neural networks.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Can text mining handle multiple languages?

Data Analysis 52

Data Analysis Python Categorization Data Mining 52