Python News Articles Classification

Brief description of my current application:

I have a running application called news aggregator. The code run's every 5 minutes to collect news from different sources (rss feeds) and i save them into a mysql database table.

Now what i wan't to achieve is to perform a Hierarchical Agglomerative Clustering/Classification of those articles every time i run the code (5 minutes) and detecting the category of the articles as well.

Description of the task:

- Classification/Clustering service

For example a python class: class ClusteringService(object):

* The object is the array (that will contain the articles for processing)

- The service should be able to detect the category of each article from a trained model/machine learning.

- The service should be able to cluster similar articles from a trained model/machine learning.


Example news: Twitter releases a new app

For the same topic, different media has reported in different times:

BBC - 22 Hours ago, Yahoo News - 15 Hours ago, CNN - 4 Hours ago

Note: see the attached picture.

So, because the aggregator runs every 5 minutes to collect news, the service should be able to handle articles max 2 days old.

For example: Twitter releases a new app - BBC - 22 Hours ago, Yahoo News - 15 Hours ago

For this topic a cluster (cluster id: 342) has been created 15 hours ago, but when the service runs today, CNN has reported for the same topic so the service should put the same article to the previously created cluster (cluster id: 342) and avoid creating second cluster for the same topic.

In the end the service should return an array of clusters from where i can insert/save them into a database.

The cluster table in my mysql database looks like (schema):

id , article_ids, size, score

Please do not hesitate if you have any suggestions or better solution/idea.

Taidot: Python, Machine Learning (ML), MySQL

Näytä lisää: news articles contain 300words, rewriting news articles, news articles features, lengthy news articles exceeding 500 words, rewording quotes news articles, short economic news articles, subjective news articles, short economy news articles, unique news articles, news articles resume writing reviews, news articles required, write numbers news articles, good 200 word news articles, unquie news articles, news articles mens issues, news articles mens issue, write news articles

Tietoa työnantajasta:
( 1 arvostelu ) Glostrup, Denmark

Projektin tunnus: #21734208

32 freelanceria on tarjonnut keskimäärin 263$ tähän työhön


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