Computing > Embedded Computing

AI, Google Coral: anyone?

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DiTBho:
Yesterday I started adding new "Sentiment Analysis" modules. It's a supervised machine learning based approach with a classification model, which is trained using the pre-labeled dataset of positive, negative, and neutral to identify classes of given text.

For each period, it uses, tokenization, lemmatization, part-of-speech-analysis, vocabulary and morphological analysis and a dataset to quantify messages content as


* opinion
* request
* squanch
and each of these category as


* negative
* somewhat negative
* neutral
* somewhat positive
* positive
Squanch is a special class processed by a bag-of-words model. I don't know other ways of extracting features from the text. The Bow module converts text into the matrix of occurrence of { insults, dirty-speaking language, urban language } words within the message and it concerns about whether given words occurred or not in the message.

All the new NLP modules are written in python + eRlang + php. The php code is just a wrapper between the HTML textarea where a guest sends a message, and the classification of his/her message: { message-dropped,  message-dropped+user-banned, message-archived }.

It's just a wild approximation, human communication is not limited to words, it is more than words, and "sentiments" are combination words, tone, and writing style.

RoGeorge:
As simple as it is from the AI/ML standpoint, that's one of the worst usage for AI.

It is used to stifle free speech, shadow-ban users, promote mediocrity, and float atop only imbecile bloatware comments like "We need more like this".   :horse:

evb149:
But comrade, I am sure that the pervasive use of such algorithms are only going to be the doubleplusgood  for us to bellyfeel & duckspeak goodthink!
Help us to crimestop crimethink, ungood oldthink, oldspeak, ownlife!
Minitrue will soon update the new edition of the AI models for our telescreens to assist with this project.


--- Quote from: RoGeorge on June 14, 2021, 02:39:10 pm ---As simple as it is from the AI/ML standpoint, that's one of the worst usage for AI.

It is used to stifle free speech, shadow-ban users, promote mediocrity, and float atop only imbecile bloatware comments like "We need more like this".   :horse:

--- End quote ---

DiTBho:

--- Quote from: RoGeorge on June 14, 2021, 02:39:10 pm ---As simple as it is from the AI/ML standpoint, that's one of the worst usage for AI.

--- End quote ---

You say this because you don't get spam, insults and harassment on a daily basis, I can assure you that when you get more gossip than useful messages then it's pretty demotivating.

In my case, look at the percentage


--- Code: ---DiTBho # suppapurge-v2 data_average May
1628 messages received in May, 2021
 966 messages automatically rejected as spam (59.3%)
  43 messages manually accepted as false negative
 183 messages manually dropped as false positive
--------------------------------------------------------------------------
 522 messages archived

--- End code ---


daily, 60% is spam! And this number tends to increase, more and more spam and less and less useful messages!

Yesterday I got a call from DHL, they informed me that I have to pay 54 euros as import taxes for my Coral modules, I didn't ask any questions, I put more than 200 euros in this project, and I am happy that messages like this

--- Quote ---Dude, if you are reading this, give up, go work at McDonalds. Doing computer science is not yours.

--- End quote ---
What The Frog is this for?   :o :o :o

No matter, who cares, it will be automatically deleted :-DD

You mentioned "free speech"


--- Quote from: RoGeorge on June 14, 2021, 02:39:10 pm ---It is used to stifle free speech, shadow-ban users, promote mediocrity, and float atop only imbecile bloatware comments like "We need more like this". 

--- End quote ---

Well, I can give you some examples of very received messages were "free speech" means there are mentally ill person on the web, and do you really want to allow them to smear the walls of your house with their mental garbage? Seriously?

I don't want to give up, others can do whatever they want on their blogs/sites, personally Ineed more like this ML AI filter, and I don't think I am promoting any mediocrity!

RoGeorge:
My remark and annoyance regarding sentiment AI technology usage was not about you.  It was about how sentiment analysis bots are used by major players like YouTube, Facebook, Twitter and alike.

Congrats for making the Coral do a useful job.   :-+

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