Yesterday, I came across two Steemit [tools](https://evanmarshall.github.io/steemit-cloud/) by @egmracer01.

The first tool generates a word cloud for a given Steemit account. The word cloud that I generated for my Steemit account yesterday is below.

![wordcloud.png](https://steemitimages.com/DQmTSA4suphYePxf7cB2JW6zfLWSjA8HxWvTtDW3eNpyNjj/wordcloud.png)

The second tool generates a sentiment analysis for a given Steemit account. The sentiment analysis of my Steemit account is below.

![sentiment.png](https://steemitimages.com/DQmRJaLK8zEpGSph9K3kgu4aGvrZiMCPYpugNSM5wVXqfAn/sentiment.png)

# Potential Use in Steemit

They are both nice ideas and actually both of them can be useful if they are embedded in Steemit profiles.

When you check someone's profile for the first time, their word cloud and sentiment analysis can give an idea about the posts of that person, much faster than reading their posts.

I can imagine that some people would like to follow accounts that have more positive sentiment. The word cloud also says a lot whether the account is relevant or not. Both of the tools would add value to the platform if embedded in Profile.

# Feedback for Writers

Moreover, serious writers could analyze their word cloud to improve their use of language. If you're using the same words too often, they would stand out in the cloud and you might want to avoid them and you might want to use their synonyms instead.

# Potential Use in Investing

The sentiment analysis have greater applications though. In investing, contrarian investors look for extreme positive or extreme negative sentiments in the markets. Using this tool can help automate measuring the sentiment of the market.

In order for the sentiment tool to be useful as a technical indicator, it has to be tested on real data. So, without any statistical analysis, we can't say that it's a reliable investing method. 

And who knows maybe it has some room for improvement, because when I look at my sentiment analysis, it's slightly positive, but I wouldn't say that my last posts were very positive. 

Maybe this tool looks at the individual words and doesn't recognize the meaning when they are used together. I don't know.

# Shout out to @egmracer01 

In either case, both tools have some potential to be used on the Steemit platform, so make sure you check the results for your own account via this [link](https://evanmarshall.github.io/steemit-cloud/) and check other posts of @egmracer01 in his profile.