Sentiment Analysis for Exploratory Data Analysis

In this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing. You will learn to install all appropriate software and to build a reusable program that can be applied to y...

Full description

Bibliographic Details
Main Author:	Zoë Wilkinson Saldaña
Format:	Article
Language:	English
Published:	Editorial Board of the Programming Historian 2018-01-01
Series:	The Programming Historian
Online Access:	https://programminghistorian.org/lessons/sentiment-analysis

id	doaj-2db61e7a157147b0bf53e1f2f2268867
record_format	Article
spelling	doaj-2db61e7a157147b0bf53e1f2f22688672020-11-24T23:10:31ZengEditorial Board of the Programming HistorianThe Programming Historian2397-20682397-20682018-01-01Sentiment Analysis for Exploratory Data Analysis Zoë Wilkinson Saldaña0University of MichiganIn this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing. You will learn to install all appropriate software and to build a reusable program that can be applied to your own texts.https://programminghistorian.org/lessons/sentiment-analysis
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Zoë Wilkinson Saldaña
spellingShingle	Zoë Wilkinson Saldaña Sentiment Analysis for Exploratory Data Analysis The Programming Historian
author_facet	Zoë Wilkinson Saldaña
author_sort	Zoë Wilkinson Saldaña
title	Sentiment Analysis for Exploratory Data Analysis
title_short	Sentiment Analysis for Exploratory Data Analysis
title_full	Sentiment Analysis for Exploratory Data Analysis
title_fullStr	Sentiment Analysis for Exploratory Data Analysis
title_full_unstemmed	Sentiment Analysis for Exploratory Data Analysis
title_sort	sentiment analysis for exploratory data analysis
publisher	Editorial Board of the Programming Historian
series	The Programming Historian
issn	2397-2068 2397-2068
publishDate	2018-01-01
description	In this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing. You will learn to install all appropriate software and to build a reusable program that can be applied to your own texts.
url	https://programminghistorian.org/lessons/sentiment-analysis
work_keys_str_mv	AT zoewilkinsonsaldana sentimentanalysisforexploratorydataanalysis
_version_	1725606979049619456

Sentiment Analysis for Exploratory Data Analysis

Similar Items