If you are someone who is looking to ensure that you are not coming off as too angry or too submissive in an email, or that you are using the right words to get what you want in a tense situation, you might be looking at what you say and how you say it. One important thing that you can do is analyze the text of your emails, the emails that you receive, any other written communication that you might get. Analyzing text for sentiment will help you analyze what you are saying and how you say it. It can help you detect the underlying tone that you might not see otherwise. Here are some tips for analyzing text for sentiment:
1. Use an Outside Tool
The first thing that you want to do is consider using an outside tool to run your text through. IBM Watson has an online tool that you can use where you type in your emails and receive analytics before you hit send. There are extensions for many browsers that will do the same thing. Consider using multiple outside tools for a few days to see if any of the tools are telling you something that is radically different than the others or if they are all relatively the same. This will allow you to find a tool that is best able to analyze your tone correctly and will, therefore, be more useful for you.
2. Read Your Text to a Friend
There are going to be some moments when you don't have Internet connectivity, which means that you will be unable to use an outside tool. This can be a problem so you will need to find other solutions. One thing that you could do is read your text out loud to a friend. You want to be the person who is reading your text out loud because you will put the emphasis on words that you personally meant to emphasize when you were reading it. This will help your friend get a more accurate representation of the text and give you more helpful analysis. Ask your friend to listen for signs of anger, fear, or other emotions that you want to limit in your writing. This will help you get outside your head and ensure that you are conveying what you need to.
For more information, talk to a company that specializes in text analytics for sentiment.