How do you classify newspaper articles?
How do you classify newspaper articles?
Text classification process involves following main steps for classification of news article. These steps are data collection, pre-processing, feature selection, classification techniques application, and evaluating performance measures. The first step of news classification is accumulating news from various sources.
What is the basic classification of news?
Text classification classifies text documents on the basis of words, phrases, combination of words etc. into predefined class labels. Method/Analysis: Present study classifies news data into four predefined classes namely Business, Entertainment, sports and Technology.
What are the news categories?
News Categories
- Asia – Business & Finance.
- Asia – Computers & IT Business.
- Asia – Economics.
- Asia – General News.
- Asia – Health, Medicine, Pharmacy Industry.
- India – Computers & IT Business.
- India – Marketing, Advertising Trade.
How do you Analyse a topic?
How does one do an analysis?
- Choose a Topic. Begin by choosing the elements or areas of your topic that you will analyze.
- Take Notes. Make some notes for each element you are examining by asking some WHY and HOW questions, and do some outside research that may help you to answer these questions.
- Draw Conclusions.
Why do we classify documentation?
By classifying text, we are aiming to assign one or more classes or categories to a document, making it easier to manage and sort. This is especially useful for publishers, financial institutions, insurance companies or any industry that deals with large amounts of content.
What is the right order for a text classification model?
A right text classification model contains – cleaning of text to remove noise, annotation to create more features, converting text-based features into predictors, learning a model using gradient descent and finally tuning a model.