Data analytics and application : email mood analysis
In the modern world, email has become an integral part of our society. People of various occupation and age range around the world receive and send emails with different frequency and quantity all the time. As emails are sent to and received from various people with various contents, it’s possible t...
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sg-ntu-dr.10356-720132023-07-07T17:54:06Z Data analytics and application : email mood analysis Benedicta Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In the modern world, email has become an integral part of our society. People of various occupation and age range around the world receive and send emails with different frequency and quantity all the time. As emails are sent to and received from various people with various contents, it’s possible to see the number of emails specifically sent to or received from certain email addresses. These emails not only carry the sender’s intention, but also the writer’s emotion inside them. This project aims to help people see the statistics of emails they sent in certain moods, whether positive or negative, in a set period of time (e.g. a month) in order to better evaluate their emotion and fluency in email exchange. Bachelor of Engineering 2017-05-23T07:36:28Z 2017-05-23T07:36:28Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72013 en Nanyang Technological University 69 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Benedicta Data analytics and application : email mood analysis |
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In the modern world, email has become an integral part of our society. People of various occupation and age range around the world receive and send emails with different frequency and quantity all the time. As emails are sent to and received from various people with various contents, it’s possible to see the number of emails specifically sent to or received from certain email addresses. These emails not only carry the sender’s intention, but also the writer’s emotion inside them.
This project aims to help people see the statistics of emails they sent in certain moods, whether positive or negative, in a set period of time (e.g. a month) in order to better evaluate their emotion and fluency in email exchange. |
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Tan Yap Peng |
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Tan Yap Peng Benedicta |
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Final Year Project |
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Benedicta |
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Data analytics and application : email mood analysis |
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Data analytics and application : email mood analysis |
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Data analytics and application : email mood analysis |
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Data analytics and application : email mood analysis |
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Data analytics and application : email mood analysis |
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data analytics and application : email mood analysis |
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2017 |
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http://hdl.handle.net/10356/72013 |
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