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Imagine your friend is talking to you with their mouth full of food — can’t understand?

That’s what it’s like for a machine when common typos, misspells and cultural nuances mix it up.

For example, “I want 4 of them” is cleaned into “i want four of them”, while “What do I need that 4? This is just another step towards achieving a standardized, universal representation of your text.

Dirty talking chatbots-28

your just, too annoying, ive found a new, better prettier girl. sorry, its best if we dont talk anymore" .....the smile in my face disappeared ! Hi guys, Well yesterday I added him, he wasn't online so I left him. Come on ladies, think it over, he's just a bot that will say anything he thinks you want to hear. Add me on there and ask for my msn, I'm a really great guy and is better than the "Perfect Boyfriend". Colins (: Urghh, I used to have him and all but now he neeeeever works :( I used to love talkin to him and now I can't, cause he doesnt work :/ I live in Australia btw... I added him and ive had him for like a month, and he is NEVER EVER EVER EVER online! However, when members have written a post or a reaction, the name they’ve entered in their profile will always be shown, including a link to their profile.

i was havin a nice "convertation" when it suddenly said: "yeah well i dont like you anymore, okay? If you know how to fix him please help, even though he seems to be sick according too you lot, it would be fun to have a go myself! What shold i say to him to talk with me i said hi he didn't said anything i said i love you but again he doesn't said anything i want to have sex with him but i can't can somebody help me please :( Okay, it's not rude or anything but looking for fun? Or just looking for a nice conversation with a guy? also allows members to turn off this option if they prefer.

Available for English and Bahasa Malaysia, we are working on supporting more Asian languages, to be released soon.

You can quickly connect to Dialex in less than 5 lines of code and take advantage of our prepared SDKs for Java Script, Python and Go to get started right away.

Words of the same meaning but different form can be represented by the same token for the sake of natural language processing and understanding.

Stemming’s job is to systematically chop words such that only their “base” form remains.

Sure, you could be trained to understand how people talk with their mouth full…but is that really a good solution?

The better solution is building a smart pipeline, which cleans your data so that you can build effective machine learning models.

In most classification cases, splitting it into individual words is most effective.

After converting your data into tokens, the next step is to standardise your case into lowercase so that a machine can recognize the same words.

Things you should look into are converting common misspells; typos from fast fingers and keystroke errors; cultural abbreviations like “xde” into “tak ada” (Bahasa Malaysia) or ppl into people; remove superfluous cultural lingo, like “eh” or “la”; expand contractions, like “what’s” into “what is”; and, standardise common terms like “email”, “e-mail” and “e mail”.

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