A form of natural language processing can be referred to as Sentiment analysis, which can be thought of as a way to get a sense of the attitude of a speaker, or writer when it comes to text content. The subject can get a little involved, but working out a basic system for getting some kind of emotional index of some text does not have to be to hard. It can just involve a database of values for common words, and use that as a way to get some kind of index value.
In a node.js environment there is an npm package called sentiment that can be used to get an emotional index value for some text content. It is very easy to use, just feed it some text, and a score can be retrieve that will help give an idea of what the emotional impact of that text is. As of the last time that I edited this post it would seem that this package is not maintained anymore. However that is not always just a bad thing, depending on what needs to happen with Sentiment analysis in a nodejs project this package might still work okay to get the job done.
For the hell of it I will link to the github reo of the example I worked out here.
It is possible to have some fun with this one as it seems to work kind of well with the task of generating some kind of numerical score for some given text that is an inaction of positive or negative emotion.
For example consider this example.
As you can see it seems to work pretty well oddly enough. So far any text that is hateful, or insulting ends up getting a negative score, while kind, and supportive text gets a positive score. That seems to be the basic idea of what this module is for. However there might be additional use case examples where this solution might fall short, I just have not got around to playing around with it more.
Its easy to see why this package can be fun to play with for a while. Part of me wants to copy and past peoples comments into it can just start responding to them with a score just for the fun of it. It also goes without saying that this can also have practical uses as well, such as maybe auto flagging a comment if it actually gets a score that is low enough. However as of this writing I have not started any kind of actual project that requires the use of something like this. So for now it is just something interesting to play around with.