Machine Learning: Detect the tone of voice in text

Hi there

Firstly, thanks for taking the time to read my project.

I will explain what I need by using an example:

Imagine there is a newspaper, and it employs two people to write the articles. The newspapers wants the language to be consistent, so each journalist must follow the same "tone of voice" rules. The rules are as follows: use friendly, conversational language.

That means if someone wrote an article using dry, serious language, it would be a problem.

I need machine learning which can detect this problem.

So I am guessing we would need to train a model to understand friendly, conversational language, and we could then use this model to examine every new article to see if it passes or fails.

Or perhaps there is a better way to do this. You are the expert, so let me know.

I am open to hiring you either for a one off project, or for ongoing work.


You must use Python 3.x.

I have programmers who can work alongside you.


Skills: Machine Learning, Natural Language

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About the Employer:
( 8 reviews ) Hong Kong, Hong Kong

Project ID: #17073191

25 freelancers are bidding on average $590 for this job


Experienced data scientist who has extensively worked on NLP projects using BoW/ Deep Learning. For your use case, I believe you'll have to train the model first using a dataset with both okay and not okay texts. Post More

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What we propose using is a Generative adversial network system which will use a discriminator network and a generator network which will help generate more friendly articles from the point of view of tone. details o More

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