Learn about sentiment analysis with supervised learning in Python with data from the Economic News Article Tone dataset (2016) /

This dataset is designed for teaching sentiment analysis of text data with supervised learning. The dataset is a subset of the 2016 Economic News Article Tone dataset, and the example investigates the change over time of sentiment on the U.S. economy from the news articles. The dataset file is accom...

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Bibliographic Details
Main Author:	Shi, Feng (Author)
Corporate Author:	Odum Institute (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Supervised learning (Machine learning) Emotive (Linguistics) Python (Computer program language) United States > Economic conditions. Apprentissage supervisé (Intelligence artificielle) Sens affectif (Linguistique) Python (Langage de programmation) États-Unis > Conditions économiques. Economic history United States
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed for teaching sentiment analysis of text data with supervised learning. The dataset is a subset of the 2016 Economic News Article Tone dataset, and the example investigates the change over time of sentiment on the U.S. economy from the news articles. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
Physical Description:	1 online resource : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526499608 1526499606