Tracking Sentiment in Mail: How Genders Differ on Emotional Axes

摘要: With the widespread use of email, we now have access to unprecedented amounts text that ourselves written. In this paper, show how sentiment analysis can be used in tandem with effective visualizations quantify and track emotions many types mail. We create a large word--emotion association lexicon by crowdsourcing, it compare love letters, hate mail, suicide notes. there are marked differences across genders they emotion words work-place email. For example, women from joy--sadness axis, whereas men prefer terms fear--trust axis. Finally, help people their emails.