Sentiment Analysis with Dynamics 365 Customer Insights
The world of sales is increasingly concerned with what customers feel, in relation to their brand or certain goods and services. Currently, special importance is given to the posts in social networks, to the feelings behind these posts. In this article I will analyze how the sentiment analysis behin...
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Format: | Article |
Language: | English |
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Dunarea de Jos University of Galati
2022-12-01
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Series: | Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics |
Subjects: | |
Online Access: | http://eia.feaa.ugal.ro/images/eia/2022_3/Enache.pdf |
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author | Maria-Cristina ENACHE |
author_facet | Maria-Cristina ENACHE |
author_sort | Maria-Cristina ENACHE |
collection | DOAJ |
description | The world of sales is increasingly concerned with what customers feel, in relation to their brand or certain goods and services. Currently, special importance is given to the posts in social networks, to the feelings behind these posts. In this article I will analyze how the sentiment analysis behind some text fragments works, together with some applications. Sentiment analysis in 2022 is a constant concern for companies, marketers and people who work in sales, through its multiple forms it can be used, in recent years, to analyze a paragraph of text, to determine the feelings behind it. In order to perform this analysis, automatic learning and natural language processing are used as effective methods. |
first_indexed | 2024-04-10T15:18:59Z |
format | Article |
id | doaj.art-0f1b68c79f0443dba949bc5736c7c66d |
institution | Directory Open Access Journal |
issn | 1584-0409 |
language | English |
last_indexed | 2024-04-10T15:18:59Z |
publishDate | 2022-12-01 |
publisher | Dunarea de Jos University of Galati |
record_format | Article |
series | Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics |
spelling | doaj.art-0f1b68c79f0443dba949bc5736c7c66d2023-02-14T15:40:23ZengDunarea de Jos University of GalatiAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics1584-04092022-12-01283697310.35219/eai15840409289Sentiment Analysis with Dynamics 365 Customer InsightsMaria-Cristina ENACHE0Dunarea de Jos University of Galati, RomaniaThe world of sales is increasingly concerned with what customers feel, in relation to their brand or certain goods and services. Currently, special importance is given to the posts in social networks, to the feelings behind these posts. In this article I will analyze how the sentiment analysis behind some text fragments works, together with some applications. Sentiment analysis in 2022 is a constant concern for companies, marketers and people who work in sales, through its multiple forms it can be used, in recent years, to analyze a paragraph of text, to determine the feelings behind it. In order to perform this analysis, automatic learning and natural language processing are used as effective methods.http://eia.feaa.ugal.ro/images/eia/2022_3/Enache.pdfbusinessprocess sentiment analysise-commerce |
spellingShingle | Maria-Cristina ENACHE Sentiment Analysis with Dynamics 365 Customer Insights Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics business process sentiment analysis e-commerce |
title | Sentiment Analysis with Dynamics 365 Customer Insights |
title_full | Sentiment Analysis with Dynamics 365 Customer Insights |
title_fullStr | Sentiment Analysis with Dynamics 365 Customer Insights |
title_full_unstemmed | Sentiment Analysis with Dynamics 365 Customer Insights |
title_short | Sentiment Analysis with Dynamics 365 Customer Insights |
title_sort | sentiment analysis with dynamics 365 customer insights |
topic | business process sentiment analysis e-commerce |
url | http://eia.feaa.ugal.ro/images/eia/2022_3/Enache.pdf |
work_keys_str_mv | AT mariacristinaenache sentimentanalysiswithdynamics365customerinsights |