Home // CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article

Automatic Emotions Analysis for French Email Campaigns optimization

Authors:
Alexis Blandin
Farida Said
Jeanne Villaneau
Pierre-François Marteau

Keywords: Algorithm; Artificial intelligence; Sentiment Analysis; Emotion prediction; Emotion recognition; Email campaign

Abstract:
Email communication and newsletter campaigns remain a significant concern for companies. The main question addressed here is how to optimize the form and content of a newsletter so that it is not interpreted as spam or annoyance by the recipient. We address this question by analyzing the emotions and opinions conveyed by emails and evaluating how they affect their open and click rate performance. We first describe a new dataset of French newsletters, and then we use emotional embeddings to analyze the associations between emotions and email performance. We finally derive clues on how to write effective email campaigns.

Pages: 35 to 40

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-896-9

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021