Thanks for reading my project.
We can generally say articles in magazines and newspapers can be classified by age range.
- the articles in "Cosmopolitan" magazine are aimed at 18 - 35 year olds.
- the articles in the "Financial Times" are aimed at 36 - 50, or 50+.
- the articles in "Readers Digest" are aimed at 50+.
- the articles in the "New York Times" are aimed at 18 - 35, 36 - 50, and 50+.
- the articles in "Vice" are aimed at 18 - 35.
So, sometimes there is an obvious target age, and other times it is more general.
Typically a certain type of language is used for each age group. For example, we could have three articles about healthy eating. But each one could be targeted at a different age group. Or could be targeted at all age groups. Therefore I do not want to classify the articles according to topic, but rather by the type of language used.
I need you to create a script/model which can detect the target age group for articles. We would input an article, and you would output the age range(s).
We need 60% - 80% accuracy.
We want to use these age ranges:
18 - 35
36 - 50
Please bid stating what you need from me to get started. I will ignore automated bids.
You must use Python 3.x.
32 freelance font une offre moyenne de $443 pour ce travail
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Experienced data scientist who has extensively worked on machine learning projects including NLP projects which I believe would be applicable for your work. Would like to know whether you have collection of labelled ar Plus
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Hi, there, My name is Phong Tran Nguyen, you can call me Phong in a short. I have read your project description and I see that you would like to build classification model to output target age group for the input - ar Plus
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Do you have dataset for the task ? if you have , is it annotated? proposal: I have 3 years experience in data science field, I`m interested in large-scale data mining and machine learning, I have experience buil Plus
I will need the dataset as well as labels for those. I have 2.5+ years of experience in machine learning, computer vision, and deep learning. I have worked on GANs, CNNs, RNNs, LSTMs, and other old ML techniques suc Plus
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Hi. What will be the format of the article? Is it a text file or a web page. Sending some samples will be a good idea. I will scrape some pages from the above data sources Cosmopolitan, FT, NYT etc.. and build the m Plus
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