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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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

IBM Journey to AI blog

Text classification: Useful for tasks like sentiment classification, spam filtering and topic classification, text classification involves categorizing documents into predefined classes or categories.

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Using Machine Learning for Sentiment Analysis: a Deep Dive

DataRobot Blog

It could be anything from a sentence to a paragraph to a longer-form collection of text. Analytically, we define the tf-idf of a term t as seen in document d , which is a member of a set of documents D as: tfidf( t, d, D ) = tf( t, d ) * idf( t, d, D ). Stanford – Reading Emotions From Speech Using Deep Neural Networks, a publication.

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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

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.

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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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NLP Landscape: Switzerland

NLP People

Their research focuses on machine learning (deep neural networks, reinforcement learning), operations research, data mining, and robotics, including work with big data IBM Research (Zurich) IBM is an American, multinational technology company.

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?