IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2022i3p69-73.html
   My bibliography  Save this article

Sentiment Analysis with Dynamics 365 Customer Insights

Author

Listed:
  • Maria-Cristina ENACHE

    (Dunarea de Jos University of Galati, Romania)

Abstract

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.

Suggested Citation

  • Maria-Cristina ENACHE, 2022. "Sentiment Analysis with Dynamics 365 Customer Insights," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 69-73.
  • Handle: RePEc:ddj:fseeai:y:2022:i:3:p:69-73
    DOI: 10.35219/eai15840409289
    as

    Download full text from publisher

    File URL: http://eia.feaa.ugal.ro/images/eia/2022_3/Enache.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.35219/eai15840409289?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2022:i:3:p:69-73. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.