Get ready to level up your Twitter game with the hottest new tool on the block - TweetyAI! This project was an absolute blast to create, and we can't wait for you to try it out. Source: about 1 year ago

My buddy and I have created a set of tools to have more fun with Twitter data. Our website has 3 sections:. Source: about 2 years ago

I am excited to share with you a project that was super fun to build - TweetyAI. TweetyAI uses prediction algorithms to generate (believable) tweets based on your past Twitter activity. All you have to do is write down your (or any other) Twitter username and generate a tweet based on the user's last 100 tweets. Source: over 2 years ago

Direct link to the web app https://tweetyai.com. Source: over 2 years ago

Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago

Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago

It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago

You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago

To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago