IBM Journey to AI blog

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It also automates tasks like information extraction and content categorization. positive, negative or neutral).

Convolutional Neural Networks 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

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? Frequently Asked Questions How does text mining differ from data mining?

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

Marktechpost

JULY 17, 2023

Predictive analytics are used by businesses to improve their operations and hit their goals. Predictive analytics can make use of both structured and unstructured data insights. What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence?

Data Mining 96

Data Mining Machine Learning Data Scientist Artificial Intelligence 96

ODSC - Open Data Science

MAY 24, 2023

Our use case within the banking industry To assist financial managers in responding to customer requests, we trained a sequence-to-sequence deep learning neural network with more than one million query-answer pairs. She has worked in several analytical domains, ranging from Retail and Urban Analysis to Customer Intelligence.

NLP 52

NLP Neural Network Natural Language Processing Data Science 52