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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

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).

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Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in…

ODSC - Open Data Science

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. The network’s encoder and decoder were implemented using two LSTMs.

NLP 52
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Unleashing the Power of Applied Text Mining in Python: Revolutionize Your Data Analysis

Pickl AI

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? Thus it helps in improving their products and services.