Predicting average response sentiments to mass sent emails using RNN

Predicting average response sentiments to mass sent emails using RNN

This study is concerned with using the popular Recurrent Neural Network (RNN) model, and its variants Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM), on the novel problem of Sentiment Forecasting (SF). The goal of SF is to predict what the sentiment of a response will be in a conversat...

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Bibliographic Details
Main Author: Bavey, Adel
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Sentiment Analysis
Sentiment Forecasting
Natural Language Processing
Machine Learning
Recurrent Neural Nets
E-mails
Sentiment Analys
Sentiment Förutsägning
Naturlig Språkbehandling
Maskininlärning
Recurrenta Neurala nät
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305764

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305764

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