Associate a certain number of news article categories on a website with each other and show their association strength by a metric
$30-250 USD
Paid on delivery
I need a source code (preferably Python but open to suggestions) that uses word recognition to recognize to what degree each pair of news articles within a news website are related to each other.
Project ID: #9998484
About the project
5 freelancers are bidding on average $341 for this job
Hello! I am a professional programmer with many years of experience using Python. I have read your project description, and I can create the word association metric program you require. To do so, I will use the librari More
I use python language. My scripts works on windows, mac or linux, but linux is preferably. I can schedule scripts on server if it is required. I have more 100 finished projects (google scraping, facebook scraping, ye More
Hi there! I have read what you exactly need, however I would like to ask you a few questions. I would call myself a master of what I do, I do work smart and do not rest until I get the job done. Please feel free to pin More
Dude, TF-IDF simiarity is what you are looking for. I have worked on it previously. Feel free to discuss :)