Adding a "tone analyzer" A.I. feature to my web app - is this overkill?
Hi,
I'm thinking of adding a "tone analyzer" feature to my web app (spicywriter.com), which currently takes a user's input and replaces overused words with synonyms.
I've gained some traction recently, and was wondering if I should add a tone analyzer that would help users see if their texts come off as angry, informative, optimistic, etc etc.
I imagine this would be great for content creators who need an outside look on how their piece of writing sounds to users. But also I know this web app is fairly simplistic and maybe some people like it that way.
Is this overkill, or should I add this feature to attract more users?
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- if you want to change user input text maybe is good idea to make it as an selectable option, not default applied to their text.
- Look into Sentiment Analysis to get idea about positive or negative sentiment of the articles, you will need to expand lists of words and parts of speech / idioms because those coming as default are 35%-40% effective at most. Look into VADER and AFINN for the start, github.
- Look into text or sentences analysis, how readable and understandable they are for the various levels of education and age of the reader. Specific content must be suitable for specific audiences and if is hard to read or understand it might get less attraction or user interaction. Some standards and lists of words are set by Dale–Chall, Coleman–Liau, Flesch, Gunning fog, SMOG, Spache. Wikipedia would be starting point to see the formulas for calculating.
6 years ago Reply